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Case Method Teaching and Learning

What is the case method? How can the case method be used to engage learners? What are some strategies for getting started? This guide helps instructors answer these questions by providing an overview of the case method while highlighting learner-centered and digitally-enhanced approaches to teaching with the case method. The guide also offers tips to instructors as they get started with the case method and additional references and resources.

On this page:

What is case method teaching.

  • Case Method at Columbia

Why use the Case Method?

Case method teaching approaches, how do i get started.

  • Additional Resources

The CTL is here to help!

For support with implementing a case method approach in your course, email [email protected] to schedule your 1-1 consultation .

Cite this resource: Columbia Center for Teaching and Learning (2019). Case Method Teaching and Learning. Columbia University. Retrieved from [today’s date] from https://ctl.columbia.edu/resources-and-technology/resources/case-method/  

Case method 1 teaching is an active form of instruction that focuses on a case and involves students learning by doing 2 3 . Cases are real or invented stories 4  that include “an educational message” or recount events, problems, dilemmas, theoretical or conceptual issue that requires analysis and/or decision-making.

Case-based teaching simulates real world situations and asks students to actively grapple with complex problems 5 6 This method of instruction is used across disciplines to promote learning, and is common in law, business, medicine, among other fields. See Table 1 below for a few types of cases and the learning they promote.

Table 1: Types of cases and the learning they promote.

Type of Case Description Promoted Learning

Directed case

Presents a scenario that is followed by discussion using a  set of “directed” / close-ended questions that can be answered from course material.

Understanding of fundamental concepts, principles, and facts

Dilemma or decision case

Presents an individual, institution, or community faced with a problem that must be solved. Students may be presented with actual historical outcomes after they work through the case.

Problem solving and decision-making skills

Interrupted case

Presents a problem for students to solve in a progressive disclosure format. Students are given the case in parts that they work on and make decisions about before moving on to the next part.

Problem solving skills
Analysis or issue case Focuses on answering questions and analyzing the situation presented. This can include “retrospective” cases that tell a story and its outcomes and have students analyze what happened and why alternative solutions were not taken. Analysis skills

For a more complete list, see Case Types & Teaching Methods: A Classification Scheme from the National Center for Case Study Teaching in Science.

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Case Method Teaching and Learning at Columbia

The case method is actively used in classrooms across Columbia, at the Morningside campus in the School of International and Public Affairs (SIPA), the School of Business, Arts and Sciences, among others, and at Columbia University Irving Medical campus.

Faculty Spotlight:

Professor Mary Ann Price on Using Case Study Method to Place Pre-Med Students in Real-Life Scenarios

Read more  

Professor De Pinho on Using the Case Method in the Mailman Core

Case method teaching has been found to improve student learning, to increase students’ perception of learning gains, and to meet learning objectives 8 9 . Faculty have noted the instructional benefits of cases including greater student engagement in their learning 10 , deeper student understanding of concepts, stronger critical thinking skills, and an ability to make connections across content areas and view an issue from multiple perspectives 11 . 

Through case-based learning, students are the ones asking questions about the case, doing the problem-solving, interacting with and learning from their peers, “unpacking” the case, analyzing the case, and summarizing the case. They learn how to work with limited information and ambiguity, think in professional or disciplinary ways, and ask themselves “what would I do if I were in this specific situation?”

The case method bridges theory to practice, and promotes the development of skills including: communication, active listening, critical thinking, decision-making, and metacognitive skills 12 , as students apply course content knowledge, reflect on what they know and their approach to analyzing, and make sense of a case. 

Though the case method has historical roots as an instructor-centered approach that uses the Socratic dialogue and cold-calling, it is possible to take a more learner-centered approach in which students take on roles and tasks traditionally left to the instructor. 

Cases are often used as “vehicles for classroom discussion” 13 . Students should be encouraged to take ownership of their learning from a case. Discussion-based approaches engage students in thinking and communicating about a case. Instructors can set up a case activity in which students are the ones doing the work of “asking questions, summarizing content, generating hypotheses, proposing theories, or offering critical analyses” 14 . 

The role of the instructor is to share a case or ask students to share or create a case to use in class, set expectations, provide instructions, and assign students roles in the discussion. Student roles in a case discussion can include: 

  • discussion “starters” get the conversation started with a question or posing the questions that their peers came up with; 
  • facilitators listen actively, validate the contributions of peers, ask follow-up questions, draw connections, refocus the conversation as needed; 
  • recorders take-notes of the main points of the discussion, record on the board, upload to CourseWorks, or type and project on the screen; and 
  • discussion “wrappers” lead a summary of the main points of the discussion. 

Prior to the case discussion, instructors can model case analysis and the types of questions students should ask, co-create discussion guidelines with students, and ask for students to submit discussion questions. During the discussion, the instructor can keep time, intervene as necessary (however the students should be doing the talking), and pause the discussion for a debrief and to ask students to reflect on what and how they learned from the case activity. 

Note: case discussions can be enhanced using technology. Live discussions can occur via video-conferencing (e.g., using Zoom ) or asynchronous discussions can occur using the Discussions tool in CourseWorks (Canvas) .

Table 2 includes a few interactive case method approaches. Regardless of the approach selected, it is important to create a learning environment in which students feel comfortable participating in a case activity and learning from one another. See below for tips on supporting student in how to learn from a case in the “getting started” section and how to create a supportive learning environment in the Guide for Inclusive Teaching at Columbia . 

Table 2. Strategies for Engaging Students in Case-Based Learning

Strategy Role of the Instructor

Debate or Trial

Develop critical thinking skills and encourage students to challenge their existing assumptions.

Structure (with guidelines) and facilitate a debate between two diametrically opposed views. Keep time and ask students to reflect on their experience.

Prepare to argue either side. Work in teams to develop and present arguments, and debrief the debate.

Work in teams and prepare an argument for conflicting sides of an issue.

Role play or Public Hearing

Understand diverse points of view, promote creative thinking, and develop empathy. Structure the role-play and facilitate the debrief. At the close of the activity, ask students to reflect on what they learned. Play a role found in a case, understand the points of view of stakeholders involved. Describe the points of view of every stakeholder involved.
Jigsaw Promote peer-to-peer learning, and get students to own their learning. Form student groups, assign each group a piece of the case to study.  Form new groups with an “expert” for each previous group. Facilitate a debrief. Be responsible for learning and then teaching case material to peers. Develop expertise for part of the problem. Facilitate case method materials for their peers.
“Clicker case”   / (ARS) Gauge your students’ learning; get all students to respond to questions, and launch or enhance a case discussion. Instructor presents a case in stages, punctuated with questions in Poll Everywhere that students respond to using a mobile device.  Respond to questions using a mobile device. Reflect on why they responded the way they did and discuss with peers seated next to them. Articulate their understanding of a case components.

Approaches to case teaching should be informed by course learning objectives, and can be adapted for small, large, hybrid, and online classes. Instructional technology can be used in various ways to deliver, facilitate, and assess the case method. For instance, an online module can be created in CourseWorks (Canvas) to structure the delivery of the case, allow students to work at their own pace, engage all learners, even those reluctant to speak up in class, and assess understanding of a case and student learning. Modules can include text, embedded media (e.g., using Panopto or Mediathread ) curated by the instructor, online discussion, and assessments. Students can be asked to read a case and/or watch a short video, respond to quiz questions and receive immediate feedback, post questions to a discussion, and share resources. 

For more information about options for incorporating educational technology to your course, please contact your Learning Designer .

To ensure that students are learning from the case approach, ask them to pause and reflect on what and how they learned from the case. Time to reflect  builds your students’ metacognition, and when these reflections are collected they provides you with insights about the effectiveness of your approach in promoting student learning.

Well designed case-based learning experiences: 1) motivate student involvement, 2) have students doing the work, 3) help students develop knowledge and skills, and 4) have students learning from each other.  

Designing a case-based learning experience should center around the learning objectives for a course. The following points focus on intentional design. 

Identify learning objectives, determine scope, and anticipate challenges. 

  • Why use the case method in your course? How will it promote student learning differently than other approaches? 
  • What are the learning objectives that need to be met by the case method? What knowledge should students apply and skills should they practice? 
  • What is the scope of the case? (a brief activity in a single class session to a semester-long case-based course; if new to case method, start small with a single case). 
  • What challenges do you anticipate (e.g., student preparation and prior experiences with case learning, discomfort with discussion, peer-to-peer learning, managing discussion) and how will you plan for these in your design? 
  • If you are asking students to use transferable skills for the case method (e.g., teamwork, digital literacy) make them explicit. 

Determine how you will know if the learning objectives were met and develop a plan for evaluating the effectiveness of the case method to inform future case teaching. 

  • What assessments and criteria will you use to evaluate student work or participation in case discussion? 
  • How will you evaluate the effectiveness of the case method? What feedback will you collect from students? 
  • How might you leverage technology for assessment purposes? For example, could you quiz students about the case online before class, accept assignment submissions online, use audience response systems (e.g., PollEverywhere) for formative assessment during class? 

Select an existing case, create your own, or encourage students to bring course-relevant cases, and prepare for its delivery

  • Where will the case method fit into the course learning sequence? 
  • Is the case at the appropriate level of complexity? Is it inclusive, culturally relevant, and relatable to students? 
  • What materials and preparation will be needed to present the case to students? (e.g., readings, audiovisual materials, set up a module in CourseWorks). 

Plan for the case discussion and an active role for students

  • What will your role be in facilitating case-based learning? How will you model case analysis for your students? (e.g., present a short case and demo your approach and the process of case learning) (Davis, 2009). 
  • What discussion guidelines will you use that include your students’ input? 
  • How will you encourage students to ask and answer questions, summarize their work, take notes, and debrief the case? 
  • If students will be working in groups, how will groups form? What size will the groups be? What instructions will they be given? How will you ensure that everyone participates? What will they need to submit? Can technology be leveraged for any of these areas? 
  • Have you considered students of varied cognitive and physical abilities and how they might participate in the activities/discussions, including those that involve technology? 

Student preparation and expectations

  • How will you communicate about the case method approach to your students? When will you articulate the purpose of case-based learning and expectations of student engagement? What information about case-based learning and expectations will be included in the syllabus?
  • What preparation and/or assignment(s) will students complete in order to learn from the case? (e.g., read the case prior to class, watch a case video prior to class, post to a CourseWorks discussion, submit a brief memo, complete a short writing assignment to check students’ understanding of a case, take on a specific role, prepare to present a critique during in-class discussion).

Andersen, E. and Schiano, B. (2014). Teaching with Cases: A Practical Guide . Harvard Business Press. 

Bonney, K. M. (2015). Case Study Teaching Method Improves Student Performance and Perceptions of Learning Gains†. Journal of Microbiology & Biology Education , 16 (1), 21–28. https://doi.org/10.1128/jmbe.v16i1.846

Davis, B.G. (2009). Chapter 24: Case Studies. In Tools for Teaching. Second Edition. Jossey-Bass. 

Garvin, D.A. (2003). Making the Case: Professional Education for the world of practice. Harvard Magazine. September-October 2003, Volume 106, Number 1, 56-107.

Golich, V.L. (2000). The ABCs of Case Teaching. International Studies Perspectives. 1, 11-29. 

Golich, V.L.; Boyer, M; Franko, P.; and Lamy, S. (2000). The ABCs of Case Teaching. Pew Case Studies in International Affairs. Institute for the Study of Diplomacy. 

Heath, J. (2015). Teaching & Writing Cases: A Practical Guide. The Case Center, UK. 

Herreid, C.F. (2011). Case Study Teaching. New Directions for Teaching and Learning. No. 128, Winder 2011, 31 – 40. 

Herreid, C.F. (2007). Start with a Story: The Case Study Method of Teaching College Science . National Science Teachers Association. Available as an ebook through Columbia Libraries. 

Herreid, C.F. (2006). “Clicker” Cases: Introducing Case Study Teaching Into Large Classrooms. Journal of College Science Teaching. Oct 2006, 36(2). https://search.proquest.com/docview/200323718?pq-origsite=gscholar  

Krain, M. (2016). Putting the Learning in Case Learning? The Effects of Case-Based Approaches on Student Knowledge, Attitudes, and Engagement. Journal on Excellence in College Teaching. 27(2), 131-153. 

Lundberg, K.O. (Ed.). (2011). Our Digital Future: Boardrooms and Newsrooms. Knight Case Studies Initiative. 

Popil, I. (2011). Promotion of critical thinking by using case studies as teaching method. Nurse Education Today, 31(2), 204–207. https://doi.org/10.1016/j.nedt.2010.06.002

Schiano, B. and Andersen, E. (2017). Teaching with Cases Online . Harvard Business Publishing. 

Thistlethwaite, JE; Davies, D.; Ekeocha, S.; Kidd, J.M.; MacDougall, C.; Matthews, P.; Purkis, J.; Clay D. (2012). The effectiveness of case-based learning in health professional education: A BEME systematic review . Medical Teacher. 2012; 34(6): e421-44. 

Yadav, A.; Lundeberg, M.; DeSchryver, M.; Dirkin, K.; Schiller, N.A.; Maier, K. and Herreid, C.F. (2007). Teaching Science with Case Studies: A National Survey of Faculty Perceptions of the Benefits and Challenges of Using Cases. Journal of College Science Teaching; Sept/Oct 2007; 37(1). 

Weimer, M. (2013). Learner-Centered Teaching: Five Key Changes to Practice. Second Edition. Jossey-Bass.

Additional resources 

Teaching with Cases , Harvard Kennedy School of Government. 

Features “what is a teaching case?” video that defines a teaching case, and provides documents to help students prepare for case learning, Common case teaching challenges and solutions, tips for teaching with cases. 

Promoting excellence and innovation in case method teaching: Teaching by the Case Method , Christensen Center for Teaching & Learning. Harvard Business School. 

National Center for Case Study Teaching in Science . University of Buffalo. 

A collection of peer-reviewed STEM cases to teach scientific concepts and content, promote process skills and critical thinking. The Center welcomes case submissions. Case classification scheme of case types and teaching methods:

  • Different types of cases: analysis case, dilemma/decision case, directed case, interrupted case, clicker case, a flipped case, a laboratory case. 
  • Different types of teaching methods: problem-based learning, discussion, debate, intimate debate, public hearing, trial, jigsaw, role-play. 

Columbia Resources

Resources available to support your use of case method: The University hosts a number of case collections including: the Case Consortium (a collection of free cases in the fields of journalism, public policy, public health, and other disciplines that include teaching and learning resources; SIPA’s Picker Case Collection (audiovisual case studies on public sector innovation, filmed around the world and involving SIPA student teams in producing the cases); and Columbia Business School CaseWorks , which develops teaching cases and materials for use in Columbia Business School classrooms.

Center for Teaching and Learning

The Center for Teaching and Learning (CTL) offers a variety of programs and services for instructors at Columbia. The CTL can provide customized support as you plan to use the case method approach through implementation. Schedule a one-on-one consultation. 

Office of the Provost

The Hybrid Learning Course Redesign grant program from the Office of the Provost provides support for faculty who are developing innovative and technology-enhanced pedagogy and learning strategies in the classroom. In addition to funding, faculty awardees receive support from CTL staff as they redesign, deliver, and evaluate their hybrid courses.

The Start Small! Mini-Grant provides support to faculty who are interested in experimenting with one new pedagogical strategy or tool. Faculty awardees receive funds and CTL support for a one-semester period.

Explore our teaching resources.

  • Blended Learning
  • Contemplative Pedagogy
  • Inclusive Teaching Guide
  • FAQ for Teaching Assistants
  • Metacognition

CTL resources and technology for you.

  • Overview of all CTL Resources and Technology
  • The origins of this method can be traced to Harvard University where in 1870 the Law School began using cases to teach students how to think like lawyers using real court decisions. This was followed by the Business School in 1920 (Garvin, 2003). These professional schools recognized that lecture mode of instruction was insufficient to teach critical professional skills, and that active learning would better prepare learners for their professional lives. ↩
  • Golich, V.L. (2000). The ABCs of Case Teaching. International Studies Perspectives. 1, 11-29. ↩
  • Herreid, C.F. (2007). Start with a Story: The Case Study Method of Teaching College Science . National Science Teachers Association. Available as an ebook through Columbia Libraries. ↩
  • Davis, B.G. (2009). Chapter 24: Case Studies. In Tools for Teaching. Second Edition. Jossey-Bass. ↩
  • Andersen, E. and Schiano, B. (2014). Teaching with Cases: A Practical Guide . Harvard Business Press. ↩
  • Lundberg, K.O. (Ed.). (2011). Our Digital Future: Boardrooms and Newsrooms. Knight Case Studies Initiative. ↩
  • Heath, J. (2015). Teaching & Writing Cases: A Practical Guide. The Case Center, UK. ↩
  • Bonney, K. M. (2015). Case Study Teaching Method Improves Student Performance and Perceptions of Learning Gains†. Journal of Microbiology & Biology Education , 16 (1), 21–28. https://doi.org/10.1128/jmbe.v16i1.846 ↩
  • Krain, M. (2016). Putting the Learning in Case Learning? The Effects of Case-Based Approaches on Student Knowledge, Attitudes, and Engagement. Journal on Excellence in College Teaching. 27(2), 131-153. ↩
  • Thistlethwaite, JE; Davies, D.; Ekeocha, S.; Kidd, J.M.; MacDougall, C.; Matthews, P.; Purkis, J.; Clay D. (2012). The effectiveness of case-based learning in health professional education: A BEME systematic review . Medical Teacher. 2012; 34(6): e421-44. ↩
  • Yadav, A.; Lundeberg, M.; DeSchryver, M.; Dirkin, K.; Schiller, N.A.; Maier, K. and Herreid, C.F. (2007). Teaching Science with Case Studies: A National Survey of Faculty Perceptions of the Benefits and Challenges of Using Cases. Journal of College Science Teaching; Sept/Oct 2007; 37(1). ↩
  • Popil, I. (2011). Promotion of critical thinking by using case studies as teaching method. Nurse Education Today, 31(2), 204–207. https://doi.org/10.1016/j.nedt.2010.06.002 ↩
  • Weimer, M. (2013). Learner-Centered Teaching: Five Key Changes to Practice. Second Edition. Jossey-Bass. ↩
  • Herreid, C.F. (2006). “Clicker” Cases: Introducing Case Study Teaching Into Large Classrooms. Journal of College Science Teaching. Oct 2006, 36(2). https://search.proquest.com/docview/200323718?pq-origsite=gscholar ↩

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5 Benefits of Learning Through the Case Study Method

Harvard Business School MBA students learning through the case study method

  • 28 Nov 2023

While several factors make HBS Online unique —including a global Community and real-world outcomes —active learning through the case study method rises to the top.

In a 2023 City Square Associates survey, 74 percent of HBS Online learners who also took a course from another provider said HBS Online’s case method and real-world examples were better by comparison.

Here’s a primer on the case method, five benefits you could gain, and how to experience it for yourself.

Access your free e-book today.

What Is the Harvard Business School Case Study Method?

The case study method , or case method , is a learning technique in which you’re presented with a real-world business challenge and asked how you’d solve it. After working through it yourself and with peers, you’re told how the scenario played out.

HBS pioneered the case method in 1922. Shortly before, in 1921, the first case was written.

“How do you go into an ambiguous situation and get to the bottom of it?” says HBS Professor Jan Rivkin, former senior associate dean and chair of HBS's master of business administration (MBA) program, in a video about the case method . “That skill—the skill of figuring out a course of inquiry to choose a course of action—that skill is as relevant today as it was in 1921.”

Originally developed for the in-person MBA classroom, HBS Online adapted the case method into an engaging, interactive online learning experience in 2014.

In HBS Online courses , you learn about each case from the business professional who experienced it. After reviewing their videos, you’re prompted to take their perspective and explain how you’d handle their situation.

You then get to read peers’ responses, “star” them, and comment to further the discussion. Afterward, you learn how the professional handled it and their key takeaways.

HBS Online’s adaptation of the case method incorporates the famed HBS “cold call,” in which you’re called on at random to make a decision without time to prepare.

“Learning came to life!” said Sheneka Balogun , chief administration officer and chief of staff at LeMoyne-Owen College, of her experience taking the Credential of Readiness (CORe) program . “The videos from the professors, the interactive cold calls where you were randomly selected to participate, and the case studies that enhanced and often captured the essence of objectives and learning goals were all embedded in each module. This made learning fun, engaging, and student-friendly.”

If you’re considering taking a course that leverages the case study method, here are five benefits you could experience.

5 Benefits of Learning Through Case Studies

1. take new perspectives.

The case method prompts you to consider a scenario from another person’s perspective. To work through the situation and come up with a solution, you must consider their circumstances, limitations, risk tolerance, stakeholders, resources, and potential consequences to assess how to respond.

Taking on new perspectives not only can help you navigate your own challenges but also others’. Putting yourself in someone else’s situation to understand their motivations and needs can go a long way when collaborating with stakeholders.

2. Hone Your Decision-Making Skills

Another skill you can build is the ability to make decisions effectively . The case study method forces you to use limited information to decide how to handle a problem—just like in the real world.

Throughout your career, you’ll need to make difficult decisions with incomplete or imperfect information—and sometimes, you won’t feel qualified to do so. Learning through the case method allows you to practice this skill in a low-stakes environment. When facing a real challenge, you’ll be better prepared to think quickly, collaborate with others, and present and defend your solution.

3. Become More Open-Minded

As you collaborate with peers on responses, it becomes clear that not everyone solves problems the same way. Exposing yourself to various approaches and perspectives can help you become a more open-minded professional.

When you’re part of a diverse group of learners from around the world, your experiences, cultures, and backgrounds contribute to a range of opinions on each case.

On the HBS Online course platform, you’re prompted to view and comment on others’ responses, and discussion is encouraged. This practice of considering others’ perspectives can make you more receptive in your career.

“You’d be surprised at how much you can learn from your peers,” said Ratnaditya Jonnalagadda , a software engineer who took CORe.

In addition to interacting with peers in the course platform, Jonnalagadda was part of the HBS Online Community , where he networked with other professionals and continued discussions sparked by course content.

“You get to understand your peers better, and students share examples of businesses implementing a concept from a module you just learned,” Jonnalagadda said. “It’s a very good way to cement the concepts in one's mind.”

4. Enhance Your Curiosity

One byproduct of taking on different perspectives is that it enables you to picture yourself in various roles, industries, and business functions.

“Each case offers an opportunity for students to see what resonates with them, what excites them, what bores them, which role they could imagine inhabiting in their careers,” says former HBS Dean Nitin Nohria in the Harvard Business Review . “Cases stimulate curiosity about the range of opportunities in the world and the many ways that students can make a difference as leaders.”

Through the case method, you can “try on” roles you may not have considered and feel more prepared to change or advance your career .

5. Build Your Self-Confidence

Finally, learning through the case study method can build your confidence. Each time you assume a business leader’s perspective, aim to solve a new challenge, and express and defend your opinions and decisions to peers, you prepare to do the same in your career.

According to a 2022 City Square Associates survey , 84 percent of HBS Online learners report feeling more confident making business decisions after taking a course.

“Self-confidence is difficult to teach or coach, but the case study method seems to instill it in people,” Nohria says in the Harvard Business Review . “There may well be other ways of learning these meta-skills, such as the repeated experience gained through practice or guidance from a gifted coach. However, under the direction of a masterful teacher, the case method can engage students and help them develop powerful meta-skills like no other form of teaching.”

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How to Experience the Case Study Method

If the case method seems like a good fit for your learning style, experience it for yourself by taking an HBS Online course. Offerings span eight subject areas, including:

  • Business essentials
  • Leadership and management
  • Entrepreneurship and innovation
  • Digital transformation
  • Finance and accounting
  • Business in society

No matter which course or credential program you choose, you’ll examine case studies from real business professionals, work through their challenges alongside peers, and gain valuable insights to apply to your career.

Are you interested in discovering how HBS Online can help advance your career? Explore our course catalog and download our free guide —complete with interactive workbook sections—to determine if online learning is right for you and which course to take.

what is case study method of training

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What the Case Study Method Really Teaches

  • Nitin Nohria

what is case study method of training

Seven meta-skills that stick even if the cases fade from memory.

It’s been 100 years since Harvard Business School began using the case study method. Beyond teaching specific subject matter, the case study method excels in instilling meta-skills in students. This article explains the importance of seven such skills: preparation, discernment, bias recognition, judgement, collaboration, curiosity, and self-confidence.

During my decade as dean of Harvard Business School, I spent hundreds of hours talking with our alumni. To enliven these conversations, I relied on a favorite question: “What was the most important thing you learned from your time in our MBA program?”

  • Nitin Nohria is the George F. Baker Jr. and Distinguished Service University Professor. He served as the 10th dean of Harvard Business School, from 2010 to 2020.

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Methodology

  • What Is a Case Study? | Definition, Examples & Methods

What Is a Case Study? | Definition, Examples & Methods

Published on May 8, 2019 by Shona McCombes . Revised on November 20, 2023.

A case study is a detailed study of a specific subject, such as a person, group, place, event, organization, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research.

A case study research design usually involves qualitative methods , but quantitative methods are sometimes also used. Case studies are good for describing , comparing, evaluating and understanding different aspects of a research problem .

Table of contents

When to do a case study, step 1: select a case, step 2: build a theoretical framework, step 3: collect your data, step 4: describe and analyze the case, other interesting articles.

A case study is an appropriate research design when you want to gain concrete, contextual, in-depth knowledge about a specific real-world subject. It allows you to explore the key characteristics, meanings, and implications of the case.

Case studies are often a good choice in a thesis or dissertation . They keep your project focused and manageable when you don’t have the time or resources to do large-scale research.

You might use just one complex case study where you explore a single subject in depth, or conduct multiple case studies to compare and illuminate different aspects of your research problem.

Case study examples
Research question Case study
What are the ecological effects of wolf reintroduction? Case study of wolf reintroduction in Yellowstone National Park
How do populist politicians use narratives about history to gain support? Case studies of Hungarian prime minister Viktor Orbán and US president Donald Trump
How can teachers implement active learning strategies in mixed-level classrooms? Case study of a local school that promotes active learning
What are the main advantages and disadvantages of wind farms for rural communities? Case studies of three rural wind farm development projects in different parts of the country
How are viral marketing strategies changing the relationship between companies and consumers? Case study of the iPhone X marketing campaign
How do experiences of work in the gig economy differ by gender, race and age? Case studies of Deliveroo and Uber drivers in London

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what is case study method of training

Once you have developed your problem statement and research questions , you should be ready to choose the specific case that you want to focus on. A good case study should have the potential to:

  • Provide new or unexpected insights into the subject
  • Challenge or complicate existing assumptions and theories
  • Propose practical courses of action to resolve a problem
  • Open up new directions for future research

TipIf your research is more practical in nature and aims to simultaneously investigate an issue as you solve it, consider conducting action research instead.

Unlike quantitative or experimental research , a strong case study does not require a random or representative sample. In fact, case studies often deliberately focus on unusual, neglected, or outlying cases which may shed new light on the research problem.

Example of an outlying case studyIn the 1960s the town of Roseto, Pennsylvania was discovered to have extremely low rates of heart disease compared to the US average. It became an important case study for understanding previously neglected causes of heart disease.

However, you can also choose a more common or representative case to exemplify a particular category, experience or phenomenon.

Example of a representative case studyIn the 1920s, two sociologists used Muncie, Indiana as a case study of a typical American city that supposedly exemplified the changing culture of the US at the time.

While case studies focus more on concrete details than general theories, they should usually have some connection with theory in the field. This way the case study is not just an isolated description, but is integrated into existing knowledge about the topic. It might aim to:

  • Exemplify a theory by showing how it explains the case under investigation
  • Expand on a theory by uncovering new concepts and ideas that need to be incorporated
  • Challenge a theory by exploring an outlier case that doesn’t fit with established assumptions

To ensure that your analysis of the case has a solid academic grounding, you should conduct a literature review of sources related to the topic and develop a theoretical framework . This means identifying key concepts and theories to guide your analysis and interpretation.

There are many different research methods you can use to collect data on your subject. Case studies tend to focus on qualitative data using methods such as interviews , observations , and analysis of primary and secondary sources (e.g., newspaper articles, photographs, official records). Sometimes a case study will also collect quantitative data.

Example of a mixed methods case studyFor a case study of a wind farm development in a rural area, you could collect quantitative data on employment rates and business revenue, collect qualitative data on local people’s perceptions and experiences, and analyze local and national media coverage of the development.

The aim is to gain as thorough an understanding as possible of the case and its context.

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In writing up the case study, you need to bring together all the relevant aspects to give as complete a picture as possible of the subject.

How you report your findings depends on the type of research you are doing. Some case studies are structured like a standard scientific paper or thesis , with separate sections or chapters for the methods , results and discussion .

Others are written in a more narrative style, aiming to explore the case from various angles and analyze its meanings and implications (for example, by using textual analysis or discourse analysis ).

In all cases, though, make sure to give contextual details about the case, connect it back to the literature and theory, and discuss how it fits into wider patterns or debates.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

  • Normal distribution
  • Degrees of freedom
  • Null hypothesis
  • Discourse analysis
  • Control groups
  • Mixed methods research
  • Non-probability sampling
  • Quantitative research
  • Ecological validity

Research bias

  • Rosenthal effect
  • Implicit bias
  • Cognitive bias
  • Selection bias
  • Negativity bias
  • Status quo bias

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What is the Case Method?

The core pedagogy of Harvard Business School since the early 20th century, the case method boasts a unique ability to make complex concepts accessible and develop students’ leadership skills, all while creating an engaging intellectual atmosphere.

A “case” is a short narrative document – a story – that presents a particular challenge facing an individual or organization. Each case reflects the information available to decision-makers at the time, and builds to a particular decision point, but without revealing what decision was actually made. For each class, students are asked to read the case and to put themselves in the shoes of the actual decision-makers to consider what they themselves would have done given the information available at the time.

To help situate the decision, each case also provides background history on the most relevant issues and events leading up to the decision point. For example, a case that focuses on a decision facing Martin Luther King Jr. during the campaign for black voting rights in 1965 also traces the broader civil rights movement, as well as the history of segregation and black disenfranchisement in the U.S. since the Civil War.

In the classroom, the instructor poses questions to guide student discussion. These carefully designed questions are the key to any successful case-method course. An experienced case-method teacher is often thinking several steps ahead, anticipating what points and questions might be raised and standing ready with follow-up questions to guide the group. Active participation in class is essential to the case method’s success, and the grading metrics reflect its importance. Students quickly learn to speak up, to challenge each other, and to build on each other’s ideas.

Any professor or teacher can teach by the case method. Content expertise beyond the case itself is helpful but not required. To assist both experienced and new case-method teachers, each case has its own teaching plan: a flexible road-map for the instructor that suggests specific questions, strategies for eliciting key insights, and ideas for organizing student responses visually on a blackboard. For some cases, more extensive supporting documents known as “teaching notes” are available to fully brief the instructor on the relevant history and the multiple levels of questions he or she might consider.

“ I’ve never had this experience as a teacher before, and it's explicitly due to the case method — it's a game changer. ”

what is case study method of training

The Use of Case Studies in Training

what is case study method of training

As a trainer, I always use practical exercises and case studies in my training sessions, workshops, or masterclasses. Irrespective if it's an onsite or online training I firstly present a case study to the class showing the methods and steps that lead to its successful finalization. Then I split the trainees in two working groups and assign two different case studies for which the respective groups must prepare a solution. Then the solution for each case study will be presented in front of the whole audience by two group leaders. 

The case study is a method of sharing descriptive situations with the goal to stimulate the trainees to think and make decisions to successfully accomplish their job tasks, apply and develop new ideas, manage or improve processes, and solve problems at work. This method takes on a practical approach.

It is instrumental to include studies in training sessions as they are based on real-life situations, can be related to the trainees’ areas of responsibilities, thus enabling them to implement the respective new concepts and best practices learned.

Based on my experience of using case studies, I conclude that:

  • As a training tool, case studies develop effective management and decision-making skills, enhance team spirit, better communication, and interpersonal skills, and strengthen the analytical skills of trainees.
  • Training sessions that provide tons of theory but no practical case studies only lead to an incomplete know-how transfer from the trainer to the trainees.
  • The only way training sessions can be really beneficial to the trainees and their companies is when the respective trained staff is able to apply and implement at their workplaces what they learned in the classrooms.
  • Training beneficiaries should always request that applicable case studies be included in the training sessions.
  • No training sessions should be conducted without case studies. Training based on case studies is king.?

And, after all, it will give a trainer great satisfaction to see at the end of each session that the learners acquired both theoretical and practical know-how.

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Using Case Studies to Teach

what is case study method of training

Why Use Cases?

Many students are more inductive than deductive reasoners, which means that they learn better from examples than from logical development starting with basic principles. The use of case studies can therefore be a very effective classroom technique.

Case studies are have long been used in business schools, law schools, medical schools and the social sciences, but they can be used in any discipline when instructors want students to explore how what they have learned applies to real world situations. Cases come in many formats, from a simple “What would you do in this situation?” question to a detailed description of a situation with accompanying data to analyze. Whether to use a simple scenario-type case or a complex detailed one depends on your course objectives.

Most case assignments require students to answer an open-ended question or develop a solution to an open-ended problem with multiple potential solutions. Requirements can range from a one-paragraph answer to a fully developed group action plan, proposal or decision.

Common Case Elements

Most “full-blown” cases have these common elements:

  • A decision-maker who is grappling with some question or problem that needs to be solved.
  • A description of the problem’s context (a law, an industry, a family).
  • Supporting data, which can range from data tables to links to URLs, quoted statements or testimony, supporting documents, images, video, or audio.

Case assignments can be done individually or in teams so that the students can brainstorm solutions and share the work load.

The following discussion of this topic incorporates material presented by Robb Dixon of the School of Management and Rob Schadt of the School of Public Health at CEIT workshops. Professor Dixon also provided some written comments that the discussion incorporates.

Advantages to the use of case studies in class

A major advantage of teaching with case studies is that the students are actively engaged in figuring out the principles by abstracting from the examples. This develops their skills in:

  • Problem solving
  • Analytical tools, quantitative and/or qualitative, depending on the case
  • Decision making in complex situations
  • Coping with ambiguities

Guidelines for using case studies in class

In the most straightforward application, the presentation of the case study establishes a framework for analysis. It is helpful if the statement of the case provides enough information for the students to figure out solutions and then to identify how to apply those solutions in other similar situations. Instructors may choose to use several cases so that students can identify both the similarities and differences among the cases.

Depending on the course objectives, the instructor may encourage students to follow a systematic approach to their analysis.  For example:

  • What is the issue?
  • What is the goal of the analysis?
  • What is the context of the problem?
  • What key facts should be considered?
  • What alternatives are available to the decision-maker?
  • What would you recommend — and why?

An innovative approach to case analysis might be to have students  role-play the part of the people involved in the case. This not only actively engages students, but forces them to really understand the perspectives of the case characters. Videos or even field trips showing the venue in which the case is situated can help students to visualize the situation that they need to analyze.

Accompanying Readings

Case studies can be especially effective if they are paired with a reading assignment that introduces or explains a concept or analytical method that applies to the case. The amount of emphasis placed on the use of the reading during the case discussion depends on the complexity of the concept or method. If it is straightforward, the focus of the discussion can be placed on the use of the analytical results. If the method is more complex, the instructor may need to walk students through its application and the interpretation of the results.

Leading the Case Discussion and Evaluating Performance

Decision cases are more interesting than descriptive ones. In order to start the discussion in class, the instructor can start with an easy, noncontroversial question that all the students should be able to answer readily. However, some of the best case discussions start by forcing the students to take a stand. Some instructors will ask a student to do a formal “open” of the case, outlining his or her entire analysis.  Others may choose to guide discussion with questions that move students from problem identification to solutions.  A skilled instructor steers questions and discussion to keep the class on track and moving at a reasonable pace.

In order to motivate the students to complete the assignment before class as well as to stimulate attentiveness during the class, the instructor should grade the participation—quantity and especially quality—during the discussion of the case. This might be a simple check, check-plus, check-minus or zero. The instructor should involve as many students as possible. In order to engage all the students, the instructor can divide them into groups, give each group several minutes to discuss how to answer a question related to the case, and then ask a randomly selected person in each group to present the group’s answer and reasoning. Random selection can be accomplished through rolling of dice, shuffled index cards, each with one student’s name, a spinning wheel, etc.

Tips on the Penn State U. website: https://sites.psu.edu/pedagogicalpractices/case-studies/

If you are interested in using this technique in a science course, there is a good website on use of case studies in the sciences at the National Science Teaching Association.

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How to use case studies in training programmes

As a trainer, I often think about how to make my training sessions more interesting and useful.  

The purpose of a training course is to help trainees understand a concept that can be used in their field. For this, they require both theoretical and practical knowledge so they can apply the learning in real-life situations. 

Using case studies in training sessions is a great way to achieve this. They’re practical training tools, which actively engage trainees through descriptive, real-life and/or fictional situations. Crucially, they focus on how to solve a problem, rather than on the solution alone. 

They also offer alternative experiences, approaches and solutions to help broaden trainees’ knowledge and skills, e.g., teamwork, practical knowledge application and problem solving. 

Types of case studies 

Picking the right type of case study for your training programme is important. Here are some of the main types:

  • Descriptive case studies focus on explaining a particular situation or action. For example, it could be used to help trainees learn effective strategies.
  • Exploratory case studies explore the potential benefits and limitations of existing strategies or examine emerging trends or new phenomena.
  • Instrumental case studies focus on understanding a particular problem and then provide insights into a broader issue or problem.
  • Intrinsic case studies focus on a particular case and then generalise the findings to other scenarios.
  • Collective case studies examine a group of related cases to gain insights into broader phenomena.

How to use pre-existing case studies

All the case studies that you provide should include sufficient information so the trainees can develop solutions and apply them to similar scenarios. 

The length of the training course will affect how you integrate the case studies. 

Some effective ways to successfully use case studies in your training programmes include the following:

  • Provide a brief, written scenario and include questions that trainees can evaluate themselves. This will enable them to apply their learning immediately and identify options for solving the problem.
  • Show short videos that present specific problems/scenarios and ask the trainees to develop role-plays based on them to analyse the problems objectively.
  • Provide a written scenario, e.g., addressing local climate change issues, and accompanying data and ask trainees to analyse and present their understanding of the issues in groups.
  • Make a presentation, supported by visual aids. Provide practical examples of the theory or techniques covered and follow up with a question-and-answer session (structured or unstructured).
  • Ask trainees to read a case study independently and then have a whole-group discussion about the challenges and the possible solutions.
  • Get the trainees to complete individual/group assignments on a case study. Provide a worksheet and get them to write/present their analysis, including their recommendations/solutions.
  • Use several case studies so the trainees can the identify similarities and differences among them.
  • Case studies can also be provided as reading materials for trainees to take home to test their knowledge and skills without worrying about marks.

Helping your trainees write their own case studies

In longer training courses you could even give the trainees a scenario and get them to develop their own case studies on it. 

To support them with this you could give them a list of steps as a framework , like the following:

  • Read the scenario and highlight relevant facts and underline the key problems. 
  • Identify between two and five key problems. For each, answer the following questions: Why does the problem exist? What’s its impact? Who’s responsible for it ?
  • Review the source documents, have discussions or conduct more research to find possible solutions to each problem/the changes required.
  • Choose the best solution, making sure it’s realistic and that the supporting evidence is strong. Identify the pros and cons of your chosen solution.

You could also give them a more detailed template, providing a clear structure for developing their own case studies. This could provide guidance and prompts for writing the following sections: introduction, background, evaluation, recommendations and conclusions.

At the Public Affairs Centre (PAC) , we train many government officers and decision-makers and our use of case studies has been well-received and beneficial. 

But the training strategies outlined above would be beneficial and effective in any training context.  

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What is a Case Study?: Definition, Examples, & Methods

Published on July 9th, 2024

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I. What is a Case Study?: Introduction

Case study definition.

A case study is a research method involving an in-depth examination of a single subject, group, event, or phenomenon within its real-world context. Widely used across various disciplines such as social sciences, business, law, medicine, and education, case studies provide comprehensive insights into complex issues that broader surveys or experimental research cannot capture. The essence of a case study is to explore and analyze real-life situations to uncover patterns, identify causes, and propose practical solutions. Case study examples illustrate how theoretical knowledge can be applied to practical scenarios, making them invaluable for both academic research and problem-solving.

Importance in Research and Business

Case studies are crucial in both research and business due to their ability to provide detailed and nuanced insights. In academic research, case studies enable in-depth analysis of complex issues, helping researchers understand the how and why of phenomena, and leading to the development of new theories or the refinement of existing ones. In business, case studies help understand market dynamics, consumer behavior, and the effectiveness of strategies. They showcase successes and failures, offering valuable lessons for future projects. In education, especially in business schools, case studies help students develop critical thinking and problem-solving skills by analyzing real-world scenarios.

Brief History of Case Study Methodology

The case study methodology has a rich history, originating in the early 20th century in sociology. The Chicago School of Sociology used case studies to explore urban life and social issues. This approach was later adopted in psychology by figures like Sigmund Freud, who used detailed case studies to develop his theories on psychoanalysis. By the mid-20th century, Harvard Business School had popularized case studies as a teaching tool, encouraging students to analyze real-world business scenarios. Over the years, standardized templates have been developed to ensure consistency in data collection and analysis.

In modern times, case studies have adapted to the digital age with advanced data analysis software and AI tools, which ensures the originality and accuracy of case study content. This evolution highlights the adaptability and enduring relevance of case studies as a powerful tool for gaining in-depth understanding and generating valuable insights across various fields.

II. Types of Case Studies

Let’s learn about the different types of case studies that help researchers choose the appropriate method to gain deep insights into their subject.

A. Explanatory Case Studies

Explanatory case studies are designed to explore cause-and-effect relationships. They aim to explain how and why certain events occur and what factors influence these outcomes. This type of case study is often used in social sciences, business, and policy research to test theories and develop new insights. For example, an explanatory case study might investigate how a specific business strategy led to increased market share or how a new policy affected public health outcomes. By focusing on detailed and comprehensive analysis, explanatory case studies help researchers define case study contexts and understand complex phenomena.

B. Exploratory Case Studies

Exploratory case studies are used to explore a topic or issue when there are no clear outcomes or established theories. They serve as a preliminary step that can help to identify research questions and hypotheses for further study. This type of case study is particularly useful when the subject matter is new or not well understood. For instance, researchers might conduct an exploratory case study to investigate the impact of emerging technologies on consumer behavior. Exploratory case studies are flexible and open-ended, allowing researchers to gather rich, qualitative data that can guide future research directions.

C. Descriptive Case Studies

Descriptive case studies provide a detailed account of a specific subject, event, or phenomenon. They aim to describe the context, characteristics, and outcomes without necessarily investigating causal relationships. This type of case study is useful for documenting and understanding the particulars of a situation. For example, a descriptive case study might provide an in-depth look at a company's organizational structure and culture. By offering a comprehensive overview, descriptive case studies help to illustrate and contextualize complex issues, making them easier to understand and analyze.

D. Multiple-Case Studies

Multiple-case studies, also known as comparative case studies, involve the analysis of several cases to understand similarities and differences. This type of case study allows researchers to compare and contrast different instances of a phenomenon, which can lead to more robust and generalizable findings. For example, a multiple-case study might examine several companies that have implemented similar business strategies to identify common factors that contribute to success. By analyzing multiple cases, researchers can draw broader conclusions and develop more nuanced insights.

E. Intrinsic Case Studies

Intrinsic case studies focus on a specific case because it is unique or interesting in its own right. The primary aim is to gain a deeper understanding of the case itself, rather than to generalize findings to other contexts. This type of case study is often used when the case has particular significance or offers unique insights. For example, an intrinsic case study might investigate a rare medical condition to understand its characteristics and implications. By delving deeply into the specifics of the case, intrinsic case studies provide valuable, detailed knowledge that can inform practice and theory.

F. Instrumental Case Studies

Instrumental case studies use a specific case to gain insights into a broader issue or to refine a theoretical concept. The case itself is of secondary interest; it serves as a means to understand something else. For example, a researcher might use an instrumental case study of a particular organization to explore general principles of organizational behavior. This type of case study is useful for developing and testing theories, as it allows researchers to apply and examine theoretical frameworks in real-world contexts.

G. Collective Case Studies

Collective case studies, also known as multiple-case studies, involve studying a group of cases simultaneously or sequentially. This approach aims to investigate a phenomenon, population, or general condition by analyzing multiple instances. Collective case studies are valuable for identifying patterns and trends across different cases. For instance, a collective case study might examine several educational programs across different schools to understand common factors that contribute to student success. By studying multiple cases, researchers can enhance the reliability and validity of their findings and develop a more comprehensive understanding of the topic.

Each type of case study offers unique advantages and serves different research purposes. Whether researchers aim to explain causal relationships, explore new topics, provide detailed descriptions, compare multiple instances, or gain insights into broader issues, case studies are versatile tools that can be tailored to fit various research needs. Using tools like case study templates and following a structured case study format can help ensure that the research is thorough and well-organized. By understanding the different types of case studies, researchers can choose the most appropriate method to achieve their objectives and generate meaningful insights.

Also read: Uncover the power of our recruitment automation through customer stories, read our customer stories .

III. The Structure of a Case Study

A well-structured case study is essential for effectively communicating the research findings and insights, ensuring clarity and comprehensiveness.

Title and Abstract : The title should be clear, concise, and reflective of the main focus of the case study. The abstract provides a summary, usually between 150-250 words, outlining the purpose, methodology, key findings, and conclusions of the study. This section helps readers quickly understand the essence of the case study.

B. Background Information

Background Information : This section sets the context for the case study by providing relevant information about the subject being studied. It includes details about the history, environment, and circumstances surrounding the case. For example, if the case study is about a business, the background information might cover the company’s history, industry context, and market conditions.

C. Introduction and Problem Statement

Introduction and Problem Statement : The introduction offers an overview of the case study’s purpose and scope. The problem statement clearly defines the specific issue or research question that the case study aims to address. This section explains why the problem is significant and warrants investigation. For example, a problem statement might highlight a decline in customer satisfaction at a company and the need to understand the underlying causes.

D. Methodology

Methodology : The methodology section details the research design and approach used to conduct the study. It includes the methods and procedures for data collection and analysis. This section should provide enough detail to allow replication of the study. Common methodologies include qualitative methods like interviews and observations, quantitative methods like surveys and statistical analysis, or a combination of both.

E. Data Collection and Analysis

Data Collection and Analysis : This section describes the specific techniques used to gather data and the process of analyzing it. It includes information on data sources, sampling methods, and data collection instruments. The analysis part explains how the data was processed and interpreted to arrive at the findings. For example, in a business case study, data collection might involve employee interviews and customer surveys, while analysis might involve thematic coding and statistical correlation.

F. Findings and Analysis

Findings and Analysis : The findings section presents the results of the study, detailing what the data revealed about the problem. The analysis interprets these findings, explaining their significance and implications. This section should be organized logically, often using headings and subheadings to guide the reader through different aspects of the findings. For instance, findings might show a correlation between employee training and customer satisfaction, with the analysis explaining how training improves service quality.

G. Proposed Solutions and Recommendations

Proposed Solutions and Recommendations : Based on the findings, this section suggests practical actions or strategies to address the identified problems. It outlines specific steps that stakeholders can take to implement these solutions. Recommendations should be feasible, backed by the data, and aligned with the study’s goals. For example, recommendations might include implementing a new training program for employees or adopting new customer service policies.

H. Conclusion

Conclusion : The conclusion summarizes the main findings and their implications. It reinforces the significance of the study and may suggest areas for further research. This section ties together the entire case study, providing a final perspective on the problem and the proposed solutions. The conclusion should leave the reader with a clear understanding of what was learned and why it matters.

I. References and Appendices

References and Appendices : The references section lists all the sources cited in the case study, following a standard citation format (e.g., APA, MLA). This ensures proper attribution and allows readers to locate the original sources. The appendices include supplementary materials that support the case study, such as raw data, detailed tables, questionnaires, or interview transcripts. These materials provide additional context and evidence for the study’s findings and conclusions.

By adhering to this comprehensive structure, researchers can ensure their case studies are thorough, and well-organized, and effectively communicate their findings and insights to the audience.

IV. The Case Study Process

The process of conducting a case study involves several systematic steps that ensure thorough and credible research.

A. Identifying the Research Question

The first step in the case study process is to define a clear and focused research question. This question should address a specific issue or problem that the case study aims to explore. The research question guides the entire study, helping to determine the scope and objectives. For instance, a business case study might pose the question, "How does employee training impact customer satisfaction in retail settings?"

B. Selecting the Case and Determining Data-Gathering Techniques

Once the research question is established, the next step is to select a case that provides the best opportunity to explore this question. The case can be an individual, group, organization, event, or phenomenon. The selection should be purposeful and based on specific criteria relevant to the research question. Additionally, researchers must determine the most appropriate data-gathering techniques, such as interviews, surveys, observations, or document analysis, to collect the necessary information.

C. Preparing to Collect Data

Before data collection begins, researchers must develop a detailed plan outlining the procedures and tools to be used. This preparation includes creating data collection instruments (e.g., interview guides, and survey questionnaires), obtaining necessary permissions and ethical approvals, and ensuring logistical arrangements are in place. Proper preparation ensures that data collection is systematic and consistent, minimizing potential biases and errors.

D. Collecting Data in the Field

Data collection involves gathering information directly from the selected case using predetermined techniques. This phase requires careful attention to detail and adherence to the planned methods. For example, conducting interviews requires skilled questioning and active listening, while observations necessitate systematic note-taking. Ensuring data quality and integrity is crucial during this phase to maintain the credibility of the study.

E. Evaluating and Analyzing the Data

After data collection, researchers must evaluate and analyze the gathered information to draw meaningful conclusions. This process involves organizing the data, coding for themes and patterns, and using analytical techniques to interpret the findings. Qualitative data might be analyzed through thematic analysis, while quantitative data could be subjected to statistical analysis. The goal is to identify key insights that address the research question and provide a deeper understanding of the case.

F. Reporting the Findings

The final step in the case study process is to compile the findings into a comprehensive report. This report should follow a structured format, including sections such as the introduction, methodology, findings, analysis, proposed solutions, and conclusion. The report should clearly communicate the research question, the process followed, the data collected, and the insights gained. Visual aids like charts, graphs, and tables can enhance the presentation of data. Additionally, the report should provide actionable recommendations based on the findings, and it should be tailored to the intended audience, whether academic, professional, or general readers.

By following these steps, researchers can ensure a rigorous and systematic approach to conducting case studies, resulting in credible and valuable insights that contribute to knowledge and practice in their respective fields.

V. Benefits of Case Studies

Case studies offer numerous benefits that make them a valuable research method in various fields.

A. In-depth Analysis of Complex Issues

In-depth Analysis of Complex Issues : Case studies allow researchers to conduct a thorough and detailed examination of complex issues. This method provides a deep understanding of the subject matter by exploring multiple facets and perspectives. For instance, a case study on a company’s turnaround strategy can delve into the financial, operational, and cultural changes that contributed to its success. This in-depth analysis is often impossible to achieve through other research methods that provide more generalized data.

B. Real-world Application of Theories

Real-world Application of Theories : Case studies bridge the gap between theory and practice by applying theoretical concepts to real-world scenarios. They demonstrate how abstract theories can be implemented and tested in practical situations. For example, a case study on leadership styles in crisis management can show how different theoretical approaches to leadership are applied in real-life crises, providing valuable insights for both academics and practitioners.

C. Generation of New Hypotheses

Generation of New Hypotheses : Through detailed investigation and observation, case studies often reveal new insights and patterns that can lead to the generation of new hypotheses. These hypotheses can then be tested in future research, contributing to the advancement of knowledge in the field. For example, a case study on consumer behavior might uncover new trends or factors influencing purchasing decisions, prompting further research into these areas.

D. Versatility Across Various Fields

Versatility Across Various Fields : Case studies are a versatile research method that can be applied in various fields, including business, education, medicine, law, and social sciences. They can be used to study a wide range of topics, from individual behaviors to organizational practices and societal phenomena. This versatility makes case studies a popular choice for researchers seeking to understand diverse and complex issues.

VI. Challenges in Conducting Case Studies

Despite their benefits, conducting case studies also presents several challenges that researchers need to be aware of and address.

A. Potential for Researcher Bias

Potential for Researcher Bias : One of the primary challenges of case studies is the potential for researcher bias. Since case studies often involve close interaction between the researcher and the subject, there is a risk that the researcher’s perspectives and preconceptions may influence the findings. To mitigate this, researchers must strive for objectivity, use multiple sources of evidence, and employ techniques like triangulation to validate their findings.

B. Limited Generalizability

Limited Generalizability : Case studies typically focus on a single case or a small number of cases, which can limit the generalizability of the findings. The insights gained from a specific case may not necessarily apply to other contexts or populations. To address this limitation, researchers should clearly define the scope of their study and acknowledge the extent to which their findings can be generalized.

C. Time-consuming Nature

Time-consuming Nature : Conducting a thorough case study can be time-consuming, requiring extensive data collection, analysis, and reporting. This can be a significant drawback, especially for researchers with limited time and resources. To manage this challenge, researchers should plan their study carefully, set realistic timelines, and ensure they have the necessary resources to complete the study effectively.

D. Ethical Considerations

Ethical Considerations : Case studies often involve collecting detailed information about individuals or organizations, which raises important ethical considerations. Researchers must ensure that they obtain informed consent from participants, protect their privacy and confidentiality, and avoid any potential harm. Adhering to ethical guidelines and obtaining necessary approvals from ethics committees are crucial steps in conducting ethical case study research.

By understanding and addressing these challenges, researchers can enhance the reliability and credibility of their case studies, ensuring that their findings provide valuable contributions to their respective fields.

VII. Case Studies in Different Fields

Case studies are a versatile research method that can be applied across a wide range of fields, each benefiting from the in-depth analysis and practical insights they provide.

Business and Management : In the field of business and management, case studies are widely used to analyze organizational strategies, market dynamics, leadership practices, and operational processes. They offer detailed insights into how companies address challenges, implement changes, and achieve success. 

For example, a business case study might explore how a company successfully navigated a financial crisis, providing lessons on crisis management, financial planning, and leadership. These case studies are valuable for both academic purposes and practical applications, helping managers and executives learn from real-world examples.

Psychology and Social Sciences : Case studies in psychology and social sciences provide an in-depth examination of individual or group behavior, social phenomena, and cultural practices. They are particularly useful for exploring complex psychological conditions, social interactions, and cultural contexts. 

For instance, a psychological case study might investigate the development and treatment of a specific mental health disorder in a patient, offering insights into therapeutic approaches and patient experiences. In social sciences, case studies can explore social issues such as poverty, education, and community development, contributing to a deeper understanding of societal challenges and potential solutions.

Medicine and Healthcare : In medicine and healthcare, case studies are essential for understanding unique medical conditions, treatment outcomes, and healthcare practices. They provide detailed accounts of patient histories, diagnoses, treatments, and responses, contributing to medical knowledge and practice. 

For example, a medical case study might document a rare disease, detailing the symptoms, diagnostic process, treatment plan, and patient recovery. These studies are valuable for medical education, helping practitioners learn from specific cases and improve patient care. They also play a crucial role in advancing medical research by highlighting unusual cases that can lead to new discoveries.

Law and Criminal Justice : Case studies in law and criminal justice offer comprehensive analyses of legal cases, criminal behavior, law enforcement practices, and judicial decisions. They help understand the intricacies of legal principles, the application of laws, and the effectiveness of criminal justice policies. 

For instance, a legal case study might analyze a landmark Supreme Court decision, examining the legal arguments, judicial reasoning, and broader implications for society. In criminal justice, case studies can explore crime patterns, investigative techniques, and rehabilitation programs, providing valuable insights for law enforcement and policy-making.

Education : In the field of education, case studies are used to explore teaching methods, learning outcomes, educational policies, and institutional practices. They provide detailed examinations of specific educational settings, programs, and student experiences. 

For example, an educational case study might investigate the implementation of a new teaching strategy in a classroom, analyzing its impact on student engagement and academic performance. These studies are valuable for educators, administrators, and policymakers, offering practical insights into effective educational practices and innovations. Case studies in education help identify best practices, address challenges, and improve the overall quality of education.

VIII. Tools and Techniques for Case Study Research

The effectiveness of case study research often hinges on the tools and techniques used for data collection and analysis. Here are some key methods and tools that enhance the quality and depth of case study research.

Interviews and Surveys : 

Interviews and surveys are fundamental techniques for gathering qualitative and quantitative data in case studies. Interviews allow for in-depth exploration of subjects' experiences, perspectives, and insights. They can be structured, semi-structured, or unstructured, depending on the research goals. Surveys, on the other hand, provide a means to collect data from a larger sample, offering quantifiable insights that can complement qualitative findings. For example, in a business case study, interviews with key stakeholders can reveal detailed insights into organizational culture, while surveys can gauge employee satisfaction across the company.

Observation Methods : 

Observation involves systematically recording behaviors, events, and interactions as they occur naturally. This method is particularly useful for understanding the context and dynamics of the case under study. Participant observation, where the researcher becomes part of the group being studied, and non-participant observation, where the researcher observes from a distance, are common techniques. For instance, in an educational case study, observing classroom interactions can provide valuable data on teaching methods and student engagement.

Document Analysis : 

Document analysis involves reviewing and interpreting existing documents related to the case. These documents can include reports, memos, letters, emails, meeting minutes, policy documents, and other records. Analyzing these documents can provide insights into the historical context, organizational processes, and key events relevant to the case. For example, in a legal case study, analyzing court documents, legal briefs, and case law can help understand the legal arguments and judicial decisions.

Data Analysis Software : 

Data analysis software helps researchers organize, code, and analyze qualitative and quantitative data efficiently. Tools like NVivo, ATLAS.ti, and MAXQDA are commonly used for qualitative data analysis, enabling researchers to code text, identify themes, and visualize relationships. For quantitative data, software like SPSS, Stata, and R can perform statistical analysis, providing detailed insights into data patterns and correlations. These tools enhance the rigor and reliability of the analysis, making it easier to manage large volumes of data and derive meaningful conclusions.

AI Tools like HireQuotient's AI Detector :

HireQuotient's AI Detector is an advanced tool designed to ensure the originality and integrity of written content. It uses artificial intelligence to detect plagiarism, analyze text for unique patterns, and verify the authenticity of research material.

How It Can Be Used in Case Study Research : In case study research, HireQuotient's AI Detector can be used to check the originality of the case study report, ensuring that the content is free from plagiarism. This tool can also help in verifying the authenticity of sources and data used in the case study, providing an additional layer of validation. By analyzing text for unique patterns, the AI Detector can assist researchers in maintaining the quality and credibility of their work.

Benefits of Using AI in Case Study Analysis : Using AI tools like HireQuotient's AI Detector in case study analysis offers several benefits. First, it enhances the credibility and reliability of the research by ensuring that all content is original and properly cited. Second, it saves time and effort in manually checking for plagiarism and verifying sources, allowing researchers to focus on more critical aspects of the study. Third, AI tools can process large volumes of data quickly and accurately, identifying patterns and insights that might be missed through manual analysis. Overall, integrating AI into case study research improves the efficiency, accuracy, and integrity of the research process.

By leveraging these tools and techniques, researchers can conduct comprehensive and rigorous case studies that provide valuable insights and contribute to the advancement of knowledge in their respective fields.

IX. Writing and Presenting Case Studies

Effectively writing and presenting case studies is crucial for conveying research findings in a clear and impactful manner. Here are key considerations for each aspect of this process.

A. Choosing a Compelling Narrative Style

The narrative style chosen for a case study can significantly influence its readability and engagement. A compelling narrative weaves facts and analysis into a cohesive story that captures the reader’s attention. Depending on the audience and purpose, the narrative style can be:

  • Descriptive : Providing a detailed account of events and contexts, often used for educational purposes.
  • Analytical : Focusing on the interpretation and implications of the findings, suitable for academic and research audiences.
  • Persuasive : Aiming to convince the reader of a particular viewpoint or course of action, commonly used in business and policy-making contexts.
  • Reflective : Incorporating personal insights and reflections, which can be effective in educational and professional development settings.

Selecting a narrative style that aligns with the objectives of the case study and the preferences of the target audience helps ensure that the message is conveyed effectively.

B. Structuring the Case Study Report

A well-structured case study report enhances clarity and coherence, making it easier for readers to follow the research process and understand the findings. A typical structure includes:

  • Title and Abstract : Concise summary of the study’s focus and key findings.
  • Introduction : Overview of the research question, objectives, and significance of the study.
  • Background Information : Contextual information about the subject or case being studied.
  • Problem Statement : Clear definition of the problem or issue addressed by the study.
  • Methodology : Detailed description of the research methods and procedures used for data collection and analysis.
  • Findings and Analysis : Presentation and interpretation of the research results.
  • Proposed Solutions and Recommendations : Practical suggestions based on the findings.
  • Conclusion : Summary of the main insights and their implications.
  • References and Appendices : List of sources cited and supplementary materials.

Using headings and subheadings to organize these sections helps guide the reader through the report and ensures all key components are covered.

C. Using Visuals and Data Representation

Visual aids such as charts, graphs, tables, and diagrams can significantly enhance the presentation of data and findings in a case study. Effective use of visuals can:

  • Clarify Complex Information : Simplifying complex data and relationships.
  • Highlight Key Points : Drawing attention to important findings and trends.
  • Enhance Engagement : Making the report more visually appealing and easier to digest.

When using visuals, it’s important to ensure they are clearly labeled, accurately represent the data, and are integrated seamlessly into the narrative. Visuals should complement and reinforce the textual content rather than distract from it.

D. Tailoring the Presentation to the Audience

The presentation of a case study should be tailored to the specific needs and preferences of the intended audience. Consider the following:

  • Academic Audience : Focus on methodological rigor, theoretical contributions, and detailed analysis. Use formal language and provide extensive references.
  • Business Audience : Emphasize practical implications, actionable recommendations, and real-world applications. Use clear, concise language and highlight key insights and solutions.
  • General Audience : Make the content accessible and engaging by using simple language, storytelling techniques, and relatable examples. Avoid jargon and technical terms that may be unfamiliar.

By paying careful attention to narrative style, report structure, use of visuals, and audience tailoring, researchers can create compelling and impactful case studies that effectively convey their findings and insights.

X. Case Studies vs. Other Research Methods

Experimental research involves manipulating one or more variables to observe the effect on another variable, typically in a controlled environment. This method is highly effective for establishing cause-and-effect relationships and testing hypotheses. In contrast, case studies focus on the in-depth exploration of a single subject or small group within its real-life context. While experiments prioritize control and generalizability, case studies emphasize detailed understanding and contextual relevance. Case studies are particularly valuable when the research question requires exploring complex phenomena that cannot be easily isolated in an experimental setting.

Surveys and questionnaires are quantitative research methods designed to gather data from a large population, often through structured questions with predefined response options. These methods are useful for identifying trends, measuring attitudes, and making statistical generalizations. In contrast, case studies employ qualitative methods such as interviews and observations to provide rich, detailed insights into a specific case. While surveys and questionnaires offer breadth, case studies provide depth, allowing researchers to uncover nuanced information and develop a comprehensive understanding of the subject.

Ethnographic studies involve immersive, long-term fieldwork where researchers observe and interact with participants in their natural environment to understand cultural practices and social behaviors. Both ethnographic studies and case studies prioritize in-depth, qualitative analysis and contextual understanding. However, ethnography typically focuses on entire communities or cultures, while case studies concentrate on specific individuals, groups, or events. Case studies may use ethnographic techniques but are usually narrower in scope and duration.

Mixed methods research combines qualitative and quantitative approaches to provide a more comprehensive understanding of the research problem. Case studies can be an integral part of mixed methods research by incorporating both qualitative data (e.g., interviews, observations) and quantitative data (e.g., surveys, statistical analysis). This integration allows researchers to explore the case in detail while also quantifying certain aspects, enhancing the robustness and validity of the findings. Mixed methods research benefits from the detailed insights of case studies and the generalizability of quantitative data.

XI. The Future of Case Study Research

Technological Advancements in Data Collection and Analysis : Advances in technology are revolutionizing the way data is collected and analyzed in case study research. Tools such as mobile apps, online surveys, and digital recording devices facilitate efficient and accurate data collection. Data analysis software like NVivo and ATLAS.ti enables researchers to organize, code, and interpret large volumes of qualitative data. Additionally, big data analytics and machine learning algorithms offer new possibilities for identifying patterns and insights from complex datasets, enhancing the depth and precision of case study analysis.

Increasing Focus on Cross-Cultural Case Studies : Globalization and interconnectedness have heightened the importance of understanding cultural differences and similarities. Cross-cultural case studies are gaining prominence as researchers seek to compare and contrast cases from different cultural contexts. These studies provide valuable insights into how cultural factors influence behaviors, practices, and outcomes. By examining cases from diverse settings, researchers can develop more comprehensive and culturally sensitive theories and solutions.

The Role of AI and Machine Learning in Case Study Research : AI and machine learning are transforming case study research by automating data analysis and enhancing accuracy. Tools like HireQuotient's AI Detector help ensure the originality and integrity of case study content by detecting plagiarism and verifying sources. AI algorithms can analyze large datasets quickly, identifying patterns and correlations that may be overlooked by human researchers. These technologies enable more efficient data processing, allowing researchers to focus on interpreting and applying the findings.

Emerging Trends in Case Study Methodology : New trends in case study methodology are shaping the future of research. One trend is the increasing use of digital ethnography, where researchers study online communities and virtual environments. Another trend is the emphasis on participatory case studies, involving stakeholders in the research process to ensure their perspectives are represented. Additionally, there is a growing interest in longitudinal case studies that track changes over time, providing deeper insights into dynamic processes and long-term outcomes.

XII. Conclusion

Case studies are a versatile and valuable research method that offers in-depth analysis, real-world applications, and the ability to generate new hypotheses. They differ from other research methods in their focus on detailed, contextual understanding.

Thus, undertake your own case studies, leveraging the tools and techniques discussed to explore complex issues and contribute to their fields. With advancements in technology and methodology, conducting case studies is more accessible and impactful than ever. Whether for academic research, business analysis, or personal interest, case studies offer a powerful means to gain deep, actionable insights.

author

Soujanya Varada

As a technical content writer and social media strategist, Soujanya develops and manages strategies at HireQuotient. With strong technical background and years of experience in content management, she looks for opportunities to flourish in the digital space. Soujanya is also a dance fanatic and believes in spreading light!

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Simulations Vs. Case Studies: Which Is the Better Training Method?

Types-of-Training-Methods

Online corporate training has become a vital tool for upskilling workforces in today’s fast-paced business environment. So, you are well aware of its growing popularity and its potential to drive organizational success. Now, online education platforms utilize multiple types of training methods — delivered via digital platforms and technologies — like LMS platforms . They offer various learning experiences, including e-learning modules, webinars, virtual classrooms, and interactive assessments. This shift to e learning courses is driven by factors such as cost-effectiveness, scalability, and flexibility.

In fact, the global e-learning market is projected to reach $325 billion by 2025 — highlighting the recognition of online corporate training and development methods as an effective means of fostering employee development.

Types of Training Methods

Table of Contents

Importance of Choosing the Right Types of Training Methods

Selecting the appropriate training and development methods is crucial for maximum effectiveness. Different methodologies have unique characteristics and advantages that cater to specific learning objectives and styles. You can optimize engagement, retention, and skill acquisition by aligning your L&D framework with desired outcomes and workforce needs.

In online corporate training, the debate often centers around simulations and case studies. Both types of training methods offer distinct benefits, and understanding their nuances is essential for informed decision-making.

Join us as we explore simulations and case studies, analyzing their strengths, limitations, and effectiveness as types of training methods. By the end, you will gain insights to determine which approach unlocks your workforce’s full potential and drives organizational success.

Exploring Simulations as a Training Method

types of training methods

Simulations are interactive learning experiences replicating real-world scenarios in a controlled virtual environment. They allow learners to actively engage and make decisions, experiencing the consequences of their actions. Simulating realistic situations provides a safe space for employees to practice and refine their skills without real-world risks.

Advantages of Simulations in Corporate Training

Simulations offer several advantages that make them a highly effective training method in online corporate training.

Immersive Learning Experience

Simulations create a sense of immersion, transporting learners into realistic scenarios that mirror their actual work environments. This immersive experience enhances engagement and increases knowledge retention . Learners can apply theoretical knowledge to practical situations, developing critical thinking and problem-solving skills.

Real-life Scenario Simulation

Simulations enable employees to apply their knowledge and skills in a simulated real-life context. By facing realistic challenges and making decisions based on their expertise, learners gain valuable experience without the potential risks of real-world scenarios. This practical application strengthens their abilities and prepares them for actual workplace challenges.

Active Engagement and Interactivity

Simulations promote active engagement through hands-on participation. Learners actively interact with the simulation, making choices and observing the outcomes. This interactivity enhances the learning experience, fostering a deeper understanding of concepts and improving knowledge retention.

Examples of Successful Simulations in Corporate Training

Numerous organizations have successfully implemented simulations in their online corporate training programs. For instance, in the healthcare industry, medical professionals can use virtual patient simulations to diagnose and treat various conditions.

In fact, a study found that surgeons who trained using simulations had a 29% increase in speed and a 9 times lower likelihood of experiencing a stall during surgery.

In the aviation sector, pilots undergo flight simulations to enhance their skills in different scenarios, such as adverse weather conditions or system failures. These real-world examples demonstrate the effectiveness of simulations in training professionals across various industries.

Exploring Case Studies as Types of Training Methods

Types of Training Methods

Case studies are in-depth examinations of actual or hypothetical scenarios that present complex business challenges. They aim to give learners a deep understanding of the situation and encourage them to analyze, evaluate, and develop solutions based on their knowledge and expertise. Embedding case studies in LMS platforms bridges the gap between theory and practice, allowing learners to apply their skills in a realistic context.

Benefits of Case Studies in Online Corporate Training

Case studies offer several key benefits that make them a powerful training method in online corporate learning.

Practical Application of Knowledge

One of the primary advantages of case studies is their emphasis on practical application. By analyzing and working through realistic scenarios, learners can directly apply their knowledge and skills to solve complex business problems. This practical application enhances their understanding and enables them to effectively transfer their knowledge to real-world situations.

Analysis and Problem-Solving Skills Development

Case studies require learners to critically analyze the presented information, identify critical issues, and devise appropriate strategies or solutions. This analytical approach fosters the development of problem-solving skills, enabling employees to approach challenges with a systematic and strategic mindset.

Through case studies, learners can assess complex situations, evaluate multiple perspectives, and make informed decisions. In fact, 35% of students prefer case studies to master and solve difficult concepts .

Decision-Making and Critical Thinking Enhancement

Case studies stimulate decision-making and critical thinking by presenting learners with real or hypothetical scenarios requiring thoughtful analysis and judgment. Engaging in case studies encourages employees to think critically, consider various factors, weigh potential outcomes, and make sound decisions. This process enhances their decision-making skills and cultivates a mindset of thoughtful and strategic reasoning.

Showcasing Examples of Effective Case Studies in Corporate Training

Numerous organizations have successfully integrated case studies into their online corporate training programs.

For example, a technology company may present a case study on a successful product launch, allowing learners to analyze the marketing strategy, identify key factors contributing to its success, and propose improvements for future endeavors.

Similarly, in the finance sector, case studies can be used to simulate complex financial scenarios, requiring learners to assess risks, evaluate investment opportunities, and devise effective financial strategies.

Comparing the Two Types of Training Methods: Simulations and Case Studies

Types of Training Methods

When it comes to corporate training and development methods, comparing simulations and case studies can help you determine which method is better suited to meet your specific training objectives. And as a knowledgeable professional, you understand the importance of evaluating different approaches to ensure optimal learning outcomes for your workforce.

Identifying Similarities Between Simulations and Case Studies

Although simulations and case studies are distinct types of training methods, they share similarities in their overall purpose and application. Both methods provide learners with practical, real-world scenarios encouraging active engagement and decision-making.

Simulations and case studies foster a deep understanding of complex situations, promoting critical thinking, problem-solving, and analytical skills.

Contrasting Features and Approaches of Simulations and Case Studies

While simulations and case studies have common objectives, they differ in their approach and execution.

Difference 1

  • Simulations are immersive, interactive experiences replicating real-life scenarios, allowing learners to participate and make decisions in a controlled virtual environment actively.
  • On the other hand, case studies involve in-depth analysis of actual or hypothetical business situations, requiring learners to evaluate information and propose solutions critically.

Difference 2

  • Simulations focus on experiential learning, providing a dynamic and engaging environment for skill development.
  • On the contrary, case studies emphasize the application of knowledge, encouraging learners to analyze and solve complex business challenges through critical thinking and problem-solving.

Evaluating Their Effectiveness Based on Specific Training Objectives

To determine which method is better suited for your training objectives, evaluating their effectiveness in specific areas is essential.

Skill Acquisition and Application

Simulations excel in skill acquisition and application. By providing a realistic environment for practice, learners can develop hands-on expertise and experience the consequences of their decisions. Simulations allow for immediate feedback and iterative learning, enabling employees to refine their skills and enhance their ability to apply knowledge effectively.

In fact, using simulations can lead to significantly improved learning outcomes (76% higher score) compared with traditional teaching.

On the other hand, case studies emphasize applying existing knowledge to complex situations. Learners can understand how theoretical concepts translate into practical solutions through detailed analysis and reflection. Case studies foster critical thinking and problem-solving skills, enabling employees to approach similar situations in the future confidently.

As per studies, passive learning via group-based case studies results in learners enjoying lectures more and acquiring a higher percentage of knowledge.

Types of Training Methods

Knowledge Retention and Transfer

Simulations are known for their ability to enhance knowledge retention and transfer. By engaging learners in practical scenarios, simulations facilitate a deeper understanding of concepts and their real-world applications. The interactive nature of simulations promotes active learning, resulting in higher retention rates and the ability to transfer learned skills to new contexts.

Case studies also promote knowledge retention and transfer by encouraging learners to analyze and apply theoretical knowledge to real-life scenarios. The detailed examination of cases reinforces key concepts and facilitates the integration of knowledge into practical situations, enabling employees to transfer their learning to their day-to-day work.

Engagement and Motivation

Both simulations and case studies can significantly increase learner engagement and motivation. Simulations provide an immersive, interactive experience that captures learners’ attention and stimulates active participation. The dynamic nature of simulations keeps learners engaged and motivated to explore and learn from the experience.

Similarly, case studies offer a captivating learning experience by presenting complex business challenges and inviting learners to analyze and propose solutions critically. The practical relevance of case studies enhances learner motivation as they see the direct applicability of their efforts to real-world situations.

Addressing Limitations and Challenges of Both Types of Training Methods

Types of Training Methods

As you consider the implementation of simulations and case studies in your LMS platforms, it is crucial to be aware of the potential limitations and challenges associated with each method. By understanding these factors, you can proactively address them to optimize the effectiveness of your training initiatives.

Discussing Potential Drawbacks of Simulations

  • Cost and resource-intensive: Developing high-quality simulations can be complex and costly, requiring skilled professionals and specialized software. Additionally, simulations may require significant time and resources for maintenance and updates.
  • Technical requirements: Simulations often rely on advanced technology, such as virtual reality (VR) or augmented reality (AR) devices, which may require additional investments and infrastructure. Ensuring access to the necessary hardware and software can be a logistical challenge.
  • Complexity and learning curve: Simulations can be intricate and require a learning curve for participants to become familiar with the interface and functionalities. This may result in an initial adjustment period and potential frustration for some learners.

Recognizing Limitations of Case Studies in Certain Contexts

  • Time constraints: In-depth case studies may require a significant time commitment, making them less suitable for training programs with limited timeframes. Balancing the depth of analysis with the available time can be a challenge.
  • Lack of real-time feedback: Unlike simulations, case studies often lack the immediate feedback and iterative learning opportunities that simulations provide. This may impact the speed of skill acquisition and hinder the ability to correct and adjust decision-making in real time.
  • Contextual relevance: Ensuring that the selected case studies align closely with your organization’s industry, challenges, and goals is vital. Irrelevant or outdated case studies may not effectively engage learners or address their specific needs.

Analyzing How to Mitigate Challenges and Enhance Effectiveness

To address these limitations and challenges, consider the following strategies:

  • Customization and scalability: Tailor simulations to your organization’s needs, focusing on relevant scenarios and incorporating industry-specific challenges. Consider leveraging scalable simulation LMS platforms that allow for customization and future adaptability.
  • Comprehensive pre-training: Prioritize thorough onboarding and training for participants to familiarize them with the simulation interface and functionalities. Provide clear instructions and resources to reduce the learning curve and maximize engagement.
  • Diverse case selection: Select a range of case studies that cover various industries, business challenges, and skill sets. This ensures a comprehensive learning experience and allows learners to apply their knowledge to different contexts.
  • Facilitated discussions and reflection: Incorporate facilitated discussions and guided reflection sessions alongside case studies. Encourage learners to critically analyze and discuss the presented scenarios, promoting more profound understanding and engagement.
  • Continuous improvement and feedback loops: Regularly evaluate the effectiveness of both simulations and case studies through participant feedback , performance assessments , and data analytics . Use these insights to identify areas for improvement and optimize the training experience over time.

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Combining Simulations and Case Studies for Optimal Training

Types of Training Methods

As you strive to achieve optimal training outcomes, it is worth considering the benefits of combining simulations and case studies in a blended training approach . By leveraging the strengths of both types of training methods, you can create a dynamic and comprehensive learning experience that maximizes skill acquisition, knowledge retention, and engagement.

Exploring the Concept of Blended Training Approaches

Blended training approaches integrate numerous training and development methods to create a cohesive and robust training program. These approaches acknowledge that no single approach can address all learning objectives and that combining techniques can offer a more holistic learning experience.

Highlighting the Complementary Nature of Simulations and Case Studies

Simulations and case studies, when combined, offer a powerful synergy that enhances the learning process. Consider the following ways in which these methods complement each other:

  • Enhanced real-world application: Simulations provide a controlled environment for learners to apply theoretical knowledge to realistic scenarios, while case studies offer real-world examples that deepen understanding and encourage the practical application of concepts.
  • Dynamic engagement: Simulations engage learners through interactive and immersive experiences, fostering active participation and skill development. On the other hand, case studies encourage critical thinking and analysis, challenging learners to apply their knowledge to solve complex business challenges.
  • Contextual learning: Simulations can create industry-specific scenarios that closely align with your organization’s context, allowing learners to practice skills and decision-making within a relevant framework. With their diverse examples, case studies expose learners to various industries and contexts, broadening their perspectives and adaptability.

Proposing Strategies for Integrating Both Methods Effectively

To integrate simulations and case studies effectively, consider the following strategies:

  • Determine learning objectives: Identify the specific skills, knowledge, and competencies you aim to develop in your training program. Align simulations and case studies with these objectives to ensure a targeted and purposeful learning experience.
  • Sequential or parallel integration: Decide whether to implement simulations and case studies sequentially, allowing learners to build upon foundational knowledge or use them concurrently to reinforce learning and provide different perspectives.
  • Provide guidance and reflection: Offer clear instructions and guidance to learners throughout the blended training program. Incorporate reflection exercises encouraging learners to analyze their experiences, connect theory with practice, and extract valuable insights.
  • Incorporate collaborative elements: Foster collaboration and teamwork by incorporating group discussions, role-playing exercises, or collaborative case study analysis. This encourages knowledge sharing, diverse perspectives, and the development of interpersonal skills.
  • Measure effectiveness and adapt: Continuously assess the effectiveness of the blended approach through learner feedback, performance metrics, and evaluation data. Use these insights to refine and adapt the training program to ensure continuous improvement.

By thoughtfully combining simulations and case studies in a blended training approach, you can leverage the complementary nature of these methods to create a robust and comprehensive learning experience. Integrating simulations and case studies enable learners to acquire practical skills, apply knowledge in real-world scenarios, and develop critical thinking abilities, ultimately equipping your workforce with the capabilities needed to excel in today’s dynamic business landscape.

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Harvard Law School  The Case Studies

The Case Study Teaching Method

It is easy to get confused between the case study method and the case method , particularly as it applies to legal education. The case method in legal education was invented by Christopher Columbus Langdell, Dean of Harvard Law School from 1870 to 1895. Langdell conceived of a way to systematize and simplify legal education by focusing on previous case law that furthered principles or doctrines. To that end, Langdell wrote the first casebook, entitled A Selection of Cases on the Law of Contracts , a collection of settled cases that would illuminate the current state of contract law. Students read the cases and came prepared to analyze them during Socratic question-and-answer sessions in class.

The Harvard Business School case study approach grew out of the Langdellian method. But instead of using established case law, business professors chose real-life examples from the business world to highlight and analyze business principles. HBS-style case studies typically consist of a short narrative (less than 25 pages), told from the point of view of a manager or business leader embroiled in a dilemma. Case studies provide readers with an overview of the main issue; background on the institution, industry, and individuals involved; and the events that led to the problem or decision at hand. Cases are based on interviews or public sources; sometimes, case studies are disguised versions of actual events or composites based on the faculty authors’ experience and knowledge of the subject. Cases are used to illustrate a particular set of learning objectives; as in real life, rarely are there precise answers to the dilemma at hand.

 

Our suite of free materials offers a great introduction to the case study method. We also offer review copies of our products free of charge to educators and staff at degree-granting institutions.

For more information on the case study teaching method, see:

  • Martha Minow and Todd Rakoff: A Case for Another Case Method
  • HLS Case Studies Blog: Legal Education’s 9 Big Ideas
  • Teaching Units: Problem Solving , Advanced Problem Solving , Skills , Decision Making and Leadership , Professional Development for Law Firms , Professional Development for In-House Counsel
  • Educator Community: Tips for Teachers

Watch this informative video about the Problem-Solving Workshop:

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The Case Study Method in Training and Management Education

The IUP Journal of Soft Skills, Vol. VI, No. 2, pp. 55-64, June 2012

15 Pages Posted: 3 Nov 2012 Last revised: 28 May 2016

Kirti Shivakumar

KLS’ Institute of Management Education and Research

Date Written: November 1, 2012

The case study is a method which provides descriptive situations which stimulate trainees to make decisions. The purpose of the case method is to make trainees apply what they know, develop new ideas to manage a situation or solve a problem. The focus is more on the approach the trainee uses rather than on the solution. As a training tool, the case study method can be used to develop decision-making skills, enhance team spirit, better communication and interpersonal skills and strengthen the analytical skills of trainees. This paper explores the situations when case study method can be used as a training tool and also explains the advantages and limitations of this method. It also describes certain variations in the case method so that the trainer can enhance his effectiveness.

Keywords: case method, case study, management education, training methods

JEL Classification: Z00

Suggested Citation: Suggested Citation

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While the case study and the case method are often confused and the terms used interchangeably, they actually are not the same thing. The difference becomes critical when considered in terms of learning.

A case study is a story about a situation or event that contains a problem or issue, usually a real situation. The case study usually contains information about the problem PLUS information about how the situation was addressed, and the results of the actions taken to solve the problem. For example, one might use a case study from Apple computers pertaining to leadership by describing the problems Apple faced with their original leadership, then discuss what was done (hiring a new CEO, Scully) to the results.

After reading the case study, learners might be asked to analyse the case, in essence, after the fact.

Did you now that the case method used extensively at business schools, and in particular, at the Harvard Business School, was originally introduced around 1910? It has been an established instructional method for a century. The case method also presents a situation or problem space, and need not be taken from real life. However, it does not tell the learners "what was done", and neither does it provide any solutions at all. It is up to the learners to generate possible solutions that might fit the case facts.

The latter is more involving for learners, and forces them into proactive problem-solving rather than posthoc analysis.

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Home » Pros and Cons » 12 Case Study Method Advantages and Disadvantages

12 Case Study Method Advantages and Disadvantages

A case study is an investigation into an individual circumstance. The investigation may be of a single person, business, event, or group. The investigation involves collecting in-depth data about the individual entity through the use of several collection methods. Interviews and observation are two of the most common forms of data collection used.

The case study method was originally developed in the field of clinical medicine. It has expanded since to other industries to examine key results, either positive or negative, that were received through a specific set of decisions. This allows for the topic to be researched with great detail, allowing others to glean knowledge from the information presented.

Here are the advantages and disadvantages of using the case study method.

List of the Advantages of the Case Study Method

1. it turns client observations into useable data..

Case studies offer verifiable data from direct observations of the individual entity involved. These observations provide information about input processes. It can show the path taken which led to specific results being generated. Those observations make it possible for others, in similar circumstances, to potentially replicate the results discovered by the case study method.

2. It turns opinion into fact.

Case studies provide facts to study because you’re looking at data which was generated in real-time. It is a way for researchers to turn their opinions into information that can be verified as fact because there is a proven path of positive or negative development. Singling out a specific incident also provides in-depth details about the path of development, which gives it extra credibility to the outside observer.

3. It is relevant to all parties involved.

Case studies that are chosen well will be relevant to everyone who is participating in the process. Because there is such a high level of relevance involved, researchers are able to stay actively engaged in the data collection process. Participants are able to further their knowledge growth because there is interest in the outcome of the case study. Most importantly, the case study method essentially forces people to make a decision about the question being studied, then defend their position through the use of facts.

4. It uses a number of different research methodologies.

The case study method involves more than just interviews and direct observation. Case histories from a records database can be used with this method. Questionnaires can be distributed to participants in the entity being studies. Individuals who have kept diaries and journals about the entity being studied can be included. Even certain experimental tasks, such as a memory test, can be part of this research process.

5. It can be done remotely.

Researchers do not need to be present at a specific location or facility to utilize the case study method. Research can be obtained over the phone, through email, and other forms of remote communication. Even interviews can be conducted over the phone. That means this method is good for formative research that is exploratory in nature, even if it must be completed from a remote location.

6. It is inexpensive.

Compared to other methods of research, the case study method is rather inexpensive. The costs associated with this method involve accessing data, which can often be done for free. Even when there are in-person interviews or other on-site duties involved, the costs of reviewing the data are minimal.

7. It is very accessible to readers.

The case study method puts data into a usable format for those who read the data and note its outcome. Although there may be perspectives of the researcher included in the outcome, the goal of this method is to help the reader be able to identify specific concepts to which they also relate. That allows them to discover unusual features within the data, examine outliers that may be present, or draw conclusions from their own experiences.

List of the Disadvantages of the Case Study Method

1. it can have influence factors within the data..

Every person has their own unconscious bias. Although the case study method is designed to limit the influence of this bias by collecting fact-based data, it is the collector of the data who gets to define what is a “fact” and what is not. That means the real-time data being collected may be based on the results the researcher wants to see from the entity instead. By controlling how facts are collected, a research can control the results this method generates.

2. It takes longer to analyze the data.

The information collection process through the case study method takes much longer to collect than other research options. That is because there is an enormous amount of data which must be sifted through. It’s not just the researchers who can influence the outcome in this type of research method. Participants can also influence outcomes by given inaccurate or incomplete answers to questions they are asked. Researchers must verify the information presented to ensure its accuracy, and that takes time to complete.

3. It can be an inefficient process.

Case study methods require the participation of the individuals or entities involved for it to be a successful process. That means the skills of the researcher will help to determine the quality of information that is being received. Some participants may be quiet, unwilling to answer even basic questions about what is being studied. Others may be overly talkative, exploring tangents which have nothing to do with the case study at all. If researchers are unsure of how to manage this process, then incomplete data is often collected.

4. It requires a small sample size to be effective.

The case study method requires a small sample size for it to yield an effective amount of data to be analyzed. If there are different demographics involved with the entity, or there are different needs which must be examined, then the case study method becomes very inefficient.

5. It is a labor-intensive method of data collection.

The case study method requires researchers to have a high level of language skills to be successful with data collection. Researchers must be personally involved in every aspect of collecting the data as well. From reviewing files or entries personally to conducting personal interviews, the concepts and themes of this process are heavily reliant on the amount of work each researcher is willing to put into things.

These case study method advantages and disadvantages offer a look at the effectiveness of this research option. With the right skill set, it can be used as an effective tool to gather rich, detailed information about specific entities. Without the right skill set, the case study method becomes inefficient and inaccurate.

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what is case study method of training

A case study: exploring the impact of 3D printed models on cognitive integration during clinical skills training

  • Kristina Lisk University of Toronto
  • Jeffrey JH Cheung University of Illinois

Background: Cognitive integration occurs when trainees make conceptual connections between relevant knowledges and is known to improve learning. While several experimental studies have demonstrated how text and audio-visual instruction can be designed to enhance cognitive integration, clinical skills training in real-world contexts may require alternative educational strategies. Introducing three-dimensional (3D) printed models during clinical skills instruction may offer unique learning opportunities to support cognitive integration.

Methods: Using case study methodology, we explore how learners and an instructor used 3D printed bones to augment their learning interactions during a clinical skills laboratory on shoulder on palpation, and to describe the instructional strategies with 3D printed bones that may support learning. Students ( n = 21) worked in small groups and were given access to a 3D printed clavicle, scapula, and humerus. Data were collected through observation, a student focus group, and a semi-structured interview with the instructor. Thematic analysis to review and code the data and to generate themes.

Results:  We developed four themes that describe how 3D printed models were used in the classroom and how they may support cognitive integration: classroom interactivity, visualization of anatomy, integrating knowledge, and educational potential.

Conclusions: The findings demonstrate several ways 3D printed models can augment how learners, instructors, and educational materials interact with one another and how readily learners make connections between different sources and types of knowledge. This research extends previous work by demonstrating how social learning processes and interactions with physical models can offer unique affordances that may support cognitive integration.

Author Biographies

Kristina lisk, university of toronto.

Kristina Lisk is an Assistant Professor, Teaching Stream in the Division of Anatomy at the University of Toronto. Her research interests focus on examining strategies to optimize learning of basic sciences and exploring the impact of innovative teaching tools on student learning. 

Jeffrey JH Cheung, University of Illinois

Jeffrey Cheung is an Assistant Professor in the Department of Medical Education at the University of Illinois College of Medicine at Chicago, Chicago, Illinois, USA. His research primarily applies theories from cognitive psychology to clarify how educators can design learning experiences that better prepare learners for future clinical practice, and how to assess learners’ capacity to be flexible with their knowledge and skills.

Goldman E, Schroth WS. Perspective: Deconstructing integration. Acad Med. 2012;87(6):729–734; https://doi.org/10.1097/ACM.0b013e318253cad4 .

Kulasegaram KM, Martimianakis MA, Mylopoulos M, et al. Cognition before curriculum: rethinking the integration of basic science and clinical learning. Acad Med. 2013;88(10):1578–1585; https://doi.org/10.1097/ACM.0b013e3182a45def .

Baghdady MT, Carnahan H, Lam EW, et al. Integration of basic sciences and clinical sciences in oral radiology education for dental students. J Dent Educ. 2013;77(6):757–763.

Lisk K, Agur AMR, Woods NN. Exploring cognitive integration of basic science and its effect on diagnostic reasoning in novices. Perspect Med Educ 2016;5(3):147–153; https://doi.org/10.1007/s40037-016-0268-2 .

Chaudhary ZK, Mylopoulos M, Barnett R, et al. Reconsidering basic: integrating social and behavioral sciences to support learning. Acad Med. 2019;Publish Ahead of Print; https://doi.org/10.1097/ACM.0000000000002907 .

Baghdady MT, Carnahan H, Lam EWN, et al. Dental and dental hygiene students’ diagnostic accuracy in oral radiology: effect of diagnostic strategy and instructional method. J Dent Educ 2014;78(9):1279–1285.

Kulasegaram KM, Manzone JC, Ku C, et al. Cause and effect: testing a mechanism and method for the cognitive integration of basic science. Acad Med. 2015;90:S63–S69; https://doi.org/10.1097/ACM.0000000000000896 .

Woods NN, Howey EHA, Brooks LR, et al. Speed kills? Speed, accuracy, encapsulations and causal understanding. Med Educ. 2006;40(10):973–979; https://doi.org/10.1111/j.1365-2929.2006.02556.x .

Woods NN, Brooks LR, Norman GR. The value of basic science in clinical diagnosis: creating coherence among signs and symptoms. Med Educ. 2005;39(1):107–112; https://doi.org/10.1111/j.1365-2929.2004.02036.x .

Woods NN, Brooks LR, Norman GR. The role of biomedical knowledge in diagnosis of difficult clinical cases. Adv in Health Sci Educ. 2007;12(4):417–426; https://doi.org/10.1007/s10459-006-9054-y .

Woods NN. Science is fundamental: the role of biomedical knowledge in clinical reasoning: clinical expertise. Med Educ. 2007;41(12):1173–1177; https://doi.org/10.1111/j.1365-2923.2007.02911.x .

Baghdady MT, Pharoah MJ, Regehr G, et al. The role of basic sciences in diagnostic oral radiology. J Dent Educ 2009;73(10):1187–1193. https://doi.org/10.1002/j.0022-0337.2009.73.10.tb04810.x

Cheung JJH, Kulasegaram KM, Woods NN, et al. Knowing how and knowing why: testing the effect of instruction designed for cognitive integration on procedural skills transfer. Adv in Health Sci Educ. 2018;23(1):61–74; https://doi.org/10.1007/s10459-017-9774-1 .

Cheung JJH, Kulasegaram KM, Woods NN, et al. Why content and cognition matter: integrating conceptual knowledge to support simulation-based procedural skills transfer. J Gen Intern Med 2019;34(6):969–977; https://doi.org/10.1007/s11606-019-04959-y .

Cheung JJH, Kulasegaram KM, Woods NN, et al. Making concepts material: a randomized trial exploring simulation as a medium to enhance cognitive integration and transfer of learning. simulation in healthcare: J Soc Sim Healthc. 2021;16(6):392–400; https://doi.org/10.1097/SIH.0000000000000543 .

Fenwick T, Dahlgren MA. Towards socio-material approaches in simulation-based education: lessons from complexity theory. Med Educ 2015;49(4):359–367; https://doi.org/10.1111/medu.12638 .

Hutchins E. Cognitive ecology. Topics Cogn Sci 2010;2(4):705–715; https://doi.org/10.1111/j.1756-8765.2010.01089.x .

Hazlehurst B. When I say … distributed cognition. Med Educ. 2015;49(8):755–756; https://doi.org/10.1111/medu.12672 .

O’Brien BC, Battista A. Situated learning theory in health professions education research: a scoping review. Adv in Health Sci Educ. 2020;25(2):483–509; https://doi.org/10.1007/s10459-019-09900-w .

Grierson LEM, Barry M, Kapralos B, et al. The role of collaborative interactivity in the observational practice of clinical skills. Med Educ. 2012;46(4):409–416; https://doi.org/10.1111/j.1365-2923.2011.04196.x .

Castillo J-M, Park YS, Harris I, et al. A critical narrative review of transfer of basic science knowledge in health professions education. Med Educ. 2018;52(6):592–604; https://doi.org/10.1111/medu.13519 .

Drake RL, McBride JM, Pawlina W. An update on the status of anatomical sciences education in United States medical schools. Anat Sci Educ 2014;7(4):321–325; https://doi.org/10.1002/ase.1468 .

O’Reilly MK, Reese S, Herlihy T, et al. Fabrication and assessment of 3D printed anatomical models of the lower limb for anatomical teaching and femoral vessel access training in medicine. Anat Sci Educ. 2016;9(1):71–79; https://doi.org/10.1002/ase.1538 .

Mafeld S, Nesbitt C, McCaslin J, et al. Three-dimensional (3D) printed endovascular simulation models: a feasibility study. Ann Transl Med 2017;5(3):42; https://doi.org/10.21037/atm.2017.01.16 .

Lim KHA, Loo ZY, Goldie SJ, et al. Use of 3D printed models in medical education: a randomized control trial comparing 3D prints versus cadaveric materials for learning external cardiac anatomy. Anat Sci Educ 2016;9(3):213–221; https://doi.org/10.1002/ase.1573 .

Smith CF, Tollemache N, Covill D, et al. Take away body parts! An investigation into the use of 3D-printed anatomical models in undergraduate anatomy education. Anat Sci Educ 2018;11(1):44–53; https://doi.org/10.1002/ase.1718 .

Yuen J. What Is the Role of 3D Printing in undergraduate anatomy education? A scoping review of current literature and recommendations. MedSciEduc 2020;30(3):1321–1329; https://doi.org/10.1007/s40670-020-00990-5 .

McMenamin PG, Quayle MR, McHenry CR, et al. The production of anatomical teaching resources using three-dimensional (3D) printing technology. Anat Sci Educ. 2014;7(6):479–486; https://doi.org/10.1002/ase.1475 .

Evans DJR, Pawlina W. Effects of Covid-19: the need to assess the real value of anatomy education. Anatom Sci Educ. 2021;14(2):129–131; https://doi.org/10.1002/ase.2061 .

Ericsson KA. Deliberate practice and the acquisition and maintenance of expert performance in medicine and related domains. Acad Med. 2004;79(10). https://doi.org/10.1097/00001888-200410001-00022

Cook DA, Brydges R, Zendejas B, et al. Mastery learning for health professionals using technology-enhanced simulation: a systematic review and meta-analysis. Acad Med. 2013;88(8):1178–1186; https://doi.org/10.1097/ACM.0b013e31829a365d .

Khot Zaid, Quinlan Kaitlyn, Norman Geoffrey R., et al. The relative effectiveness of computer‐based and traditional resources for education in anatomy. Anat Sci Educ. 2013;6(4):211–215; https://doi.org/10.1002/ase.1355 .

Preece D, Williams SB, Lam R, et al. “Let’s get physical”: advantages of a physical model over 3D computer models and textbooks in learning imaging anatomy. Anat Sci Educ 2013;6(4):216–224; https://doi.org/10.1002/ase.1345 .

Wainman B, Wolak L, Pukas G, et al. The superiority of three-dimensional physical models to two-dimensional computer presentations in anatomy learning. Med Educ. 2018;52(11):1138–1146; https://doi.org/10.1111/medu.13683 .

Wainman B, Pukas G, Wolak L, et al. The critical role of stereopsis in virtual and mixed reality learning environments. Anat Sci Educ. 2020;13(3):401–412; https://doi.org/10.1002/ase.1928 .

Yin RK. Case Study Research and Applications: Design and Methods. 6th ed. SAGE Publications, Incorporated: Thousand Oaks; 2017.

Flick U. Triangulation in data collection. In: The SAGE Handbook of qualitative data collection SAGE Publications Ltd; 2018; https://doi.org/10.4135/9781526416070 .

Mogk J, Lloyd J, Bibliowicz J, et al. The parametric human project: building a probabilistic atlas of human anatomy. Natal, Brazil; 2013.

Morgan DL, Hoffman K. Focus groups. In: The SAGE Handbook of Qualitative Data Collection SAGE Publications Ltd; 2018; https://doi.org/10.4135/9781526416070 .

Cheung JJH, Kulasegaram KM. Beyond the tensions within transfer theories: implications for adaptive expertise in the health professions. Adv in Health Sci Educ 2022; https://doi.org/10.1007/s10459-022-10174-y .

Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3(2):77–101; https://doi.org/10.1191/1478088706qp063oa .

Kiger ME, Varpio L. Thematic analysis of qualitative data: AMEE Guide No. 131. Med Teach. 2020;42(8):846–854; https://doi.org/10.1080/0142159X.2020.1755030 .

Braun V, Clarke V. One size fits all? What counts as quality practice in (reflexive) thematic analysis? Qualitative Research in Psychology 2021;18(3):328–352; https://doi.org/10.1080/14780887.2020.1769238 .

Lisk K, Agur AMR, Woods NN. Examining the effect of self-explanation on cognitive integration of basic and clinical sciences in novices. Adv Health Sci Educ Theory Pract 2017;22(5):1071–1083; https://doi.org/10.1007/s10459-016-9743-0 .

Gibson JJ. The ecological approach to visual perception: classic edition. Psychology Press: New York; 2014.; https://doi.org/10.4324/9781315740218 .

Greeno JG. Gibson’s affordances. 1994. https://doi.org/10.1037//0033-295X.101.2.336

Greeno JG. The situativity of knowing, learning, and research. Amer psychol.1998;53(1):5. https://doi.org/10.1037/0003-066X.53.1.5

Wilson M. Six views of embodied cognition. Psychonom Bull Rev. 2002;9(4):625–636; https://doi.org/10.3758/BF03196322 .

Jang S, Black JB, Jyung RW. Embodied cognition and virtual reality in learning to visualize anatomy. n.d.;6.

Smyth L, Carter J, Valter K, et al. Examining the short-, medium-, and long-term success of an embodied learning activity in the study of hand anatomy for clinical application. Anat Sci Educ 2021;14(2):201–209; https://doi.org/10.1002/ase.1987 .

Rabattu P-Y, Debarnot U, Hoyek N. Exploring the impact of interactive movement-based anatomy learning in real classroom setting among kinesiology students. Anat Sci Educ 2023;16(1):148–156; https://doi.org/10.1002/ase.2172 .

Brooks NB, Barner D, Frank M, et al. The role of gesture in supporting mental representations: the case of mental abacus arithmetic. Cogn Sci 2018;42(2):554–575; https://doi.org/10.1111/cogs.12527 .

Hendrick C, Heal J. Just because they’re engaged, it doesn’t mean they’re learning. n.d. Available from: https://my.chartered.college/impact_article/just-because-theyre-engaged-it-doesnt-mean-theyre-learning/ [Accessed on Mar 1, 2022].

Olmos-Vega FM, Stalmeijer RE, Varpio L, et al. A practical guide to reflexivity in qualitative research: AMEE Guide No. 149. Med Teach. 2023;45(3):241–251; https://doi.org/10.1080/0142159X.2022.2057287 .

what is case study method of training

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Title: leveraging parameter efficient training methods for low resource text classification: a case study in marathi.

Abstract: With the surge in digital content in low-resource languages, there is an escalating demand for advanced Natural Language Processing (NLP) techniques tailored to these languages. BERT (Bidirectional Encoder Representations from Transformers), serving as the foundational framework for numerous NLP architectures and language models, is increasingly employed for the development of low-resource NLP models. Parameter Efficient Fine-Tuning (PEFT) is a method for fine-tuning Large Language Models (LLMs) and reducing the training parameters to some extent to decrease the computational costs needed for training the model and achieve results comparable to a fully fine-tuned model. In this work, we present a study of PEFT methods for the Indic low-resource language Marathi. We conduct a comprehensive analysis of PEFT methods applied to various monolingual and multilingual Marathi BERT models. These approaches are evaluated on prominent text classification datasets like MahaSent, MahaHate, and MahaNews. The incorporation of PEFT techniques is demonstrated to significantly expedite the training speed of the models, addressing a critical aspect of model development and deployment. In this study, we explore Low-Rank Adaptation of Large Language Models (LoRA) and adapter methods for low-resource text classification. We show that these methods are competitive with full fine-tuning and can be used without loss in accuracy. This study contributes valuable insights into the effectiveness of Marathi BERT models, offering a foundation for the continued advancement of NLP capabilities in Marathi and similar Indic languages.
Comments: Accepted at I2CT 2024
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
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Deep learning-aided simultaneous missing well log prediction in multiple stratigraphic units: a case study from the Bhogpara oil field, Upper Assam, Northeast India

  • Published: 06 August 2024

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what is case study method of training

  • Bappa Mukherjee 1 ,
  • Kalachand Sain 1 ,
  • Sohan Kar 2 &
  • Srivardhan V 3  

Accurate well log data is critical for subsurface characterisation and decision-making in the petroleum exploration. We explore and compare the effectiveness of three distinct deep leaning (DL) approaches—Long Short-Term Memory, Bidirectional Long Short-Term Memory, and Convolutional Long Short-Term Memory networks—in predicting missing well log data, a common challenge in the data acquired by Energy and Production (E&P) companies. Our analysis revealed the complex, nonlinear relationships present in geophysical logs through correlation matrix and determining the rank of predictor features through Minimum Redundancy Maximum Relevance (MRMR) analysis. To weigh these models, we used real-field wireline log datasets from the Bhogpara oil field of Upper Assam basin. The performance of each model is evaluated through root mean square error, correlation coefficients, mean absolute error and variance between actual and predicted values. The uncertainty of the models was facilitated by Monte Carlo simulation. Deep learning models accurately predicted neutron porosity logs from gamma-ray, resistivity, density, and photoelectric factor logs. The high correlation coefficients during the training (exceeding 0.90) and test (exceeding 0.97) phases illustrated the predictive precision of the DL models. Conv-LSTM consistently outperforms LSTM and Bi-LSTM, indicating the integration of convolutional layers in feature extraction offers a significant advantage in capturing intricate patterns in log data. The research showcases the effectiveness of deep learning architectures in predicting missing logs, a crucial aspect for E&P companies, as log data is vital for decision-making. The study presents a novel method for preserving data integrity and facilitating informed decision-making.

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Ahmed SA, Hussain M, Khan ZU (2022) Supervised machine learning for predicting shear sonic log (DTS) and volumes of petrophysical and elastic attributes, Kadanwari Gas Field, Pakistan. Front Earth Sci 10:919130. https://doi.org/10.3389/feart.2022.919130

Article   Google Scholar  

Arbel N (2018) How LSTM networks solve the problem of vanishing gradients. https://medium.datadriveninvestor.com/how-do-lstm-networks-solve-the-problem-of-vanishing-gradients-a6784971a577 . Accessed 27 Jan 2024

Bassiouni Z (1994) Theory, measurement and interpretation of well logs. SPE Textb 4:384. https://doi.org/10.2118/9781555630560

Bezbaruah D, Goswami TK, Sarmah RK (2022) The upper assam basin, its evolution, and modification. pp 280–299. https://doi.org/10.1002/9781119679998.ch17

Bharali B, Borgohain P (2013) Few characteristics of Tipam sandstone formation within oil-field areas of upper assam – a study based on wireline log data. J Earth Syst Sci Special volume:36–45

Google Scholar  

Bhuyan D, Borgohain P, Bezbaruah D (2022) Diagenesis and reservoir quality of Oligocene Barail Group of Upper Assam Shelf, Assam and Assam Arakan basin, India. J Asian Earth Sci: X 7:100100. https://doi.org/10.1016/j.jaesx.2022.100100 . (ISSN 2590-0560)

Boruah A, Verma S, Rasheed A, Siddharth Gairola G, Gogoi A (2022) Macro-seepage based potential new hydrocarbon prospects in Assam-Arakan Basin, India. Sci Rep 12(1):2273. https://doi.org/10.1038/s41598-022-06045-6

Article   CAS   Google Scholar  

Castagna J, Batzle M, Eastwood R (1985) Relationship between compressional and shear-wave velocities in classic silicate rocks. Geophysics 50:571–581. https://doi.org/10.1190/1.1441933

Cesario E, Comito C, Zumpano E (2024) A survey of the recent trends in deep learning for literature based discovery in the biomedical domain. Neurocomputing 568:127079. https://doi.org/10.1016/j.neucom.2023.127079

Che Z, Purushotham S, Cho K, Sontag D, Liu Y (2018) Recurrent Neural Networks for Multivariate Time Series with Missing Values. Sci Rep 8:6085. https://doi.org/10.1038/s41598-018-24271-9

Chen W, Yang L, Zha B, Zhang M, Chen Y (2020) Deep learning reservoir porosity prediction based on multilayer long short-term memory network. Geophysics 85(4):WA213-WA225.1. https://doi.org/10.1190/GEO2019-0261.1

Chirokov A (2024) Scattered data interpolation and approximation using radial base functions. https://www.mathworks.com/matlabcentral/fileexchange/10056-scattered-data-interpolation-and-approximation-using-radial-base-functions . Assessed 18 Jun 2024

Dabi S, Zia S, Vedanti N (2022) Prediction of missing compressional sonic logs using ensemble learning technique in Gandhar oilfield, Cambay basin, India. Second European Association of Geoscientists & Engineers, Digitalization Conference and Exhibition, Mar 2022, vol 2022. pp 1–5. https://doi.org/10.3997/2214-4609.202239039

Ding C, Peng H (2005) Minimum redundancy feature selection from microarray gene expression data. J Bioinform Comput Biol 3(2):185–205

Faust LY (1953) A velocity function including lithologic variation. Geophysics 18:271–288. https://doi.org/10.1190/1.1437869

Gambhir SC, Nayak S, Mahanti S (1991) Problem well analysis of upper Assam OILFIELDS of ONGC. Hydrocarbon deposits of North East India: a collection of scientific papers presented at the regional symposium held on 15, 16 March 1990, Department of Geological Sciences, Gauhati University. All Assam Geological Forum, Gauhati University Unit, pp 76

Gardner GHF, Gardner LW, Gregory AR (1974) Formation velocity and density; the diagnostic basics for stratigraphic traps. Geophysics 39(6):770–780. https://doi.org/10.1190/1.1440465

Ghahramani Z (2015) Probabilistic machine learning and artificial intelligence. Nature 521:452–459. https://doi.org/10.1038/nature14541

Graves A, Mohamed A, Hinton G (2013) Speech recognition with deep recurrent neural networks. IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, BC, Canada, 26-31 May 2013, pp 6645–6649

Greenberg ML, Castagna JP (1992) Shear-wave velocity estimation in porous rocks: theoretical formulation, preliminary verification and applications. Geophys Prospect 40:195–209. https://doi.org/10.1111/j.1365-2478.1992.tb00371.x

Guillaume M (2024) Taylor diagram. MATLAB central file exchange. Retrieved February 29, 2024. https://www.mathworks.com/matlabcentral/fileexchange/20559-taylor-diagram

Guo C, Guo W, Chen C-H, Wang X, Liu G (2019) The AirQuality prediction based on a convolutional LSTM network 11817: LNCS. 2019. https://doi.org/10.1007/978-3-030-30952-7_12

Gupta T (2020) Assam-Arakan basin. https://www.researchgate.net/publication/344826534_ASSAM-ARAKAN_BASIN . Accessed 04/10/2023

Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning: data mining, inference, and prediction. 2nd edn. Springer. https://doi.org/10.1007/978-0-387-84858-7

Henley S (2006) The problem of missing data in geoscience databases. Comput Geosci 32(9):1368–1377. https://doi.org/10.1016/j.cageo.2005.12.008

Hill EJ, Pearce MA, Stromberg JM (2021) Improving automated geological logging of drill holes by incorporating multiscale spatial methods. Math Geosci 53:21–53. https://doi.org/10.1007/s11004-020-09859-0

Hochreiter S, Schmidhuber J (1997) Long short-term memory. Neural Comput 9:1735–1780. https://doi.org/10.1162/neco.1997.9.8.1735

Hurley NF, Zhang T (2011) Method to generate full-bore images using borehole images and multipoint statistics. SPE Reservoir Eval Eng 14:204–214. https://doi.org/10.2118/120671-PA

Jaderberg M, Dalibard V, Osindero S, Czarnecki WM, Donahue J, Razavi A, Vinyals O, Green T, Dunning I, Simonyan K, Fernando C, Kavukcuoglu K (2017) Population based training of neural networks. ArXiv. /abs/1711.09846

Jauhri A, Kishore S, Singh J, India NE (2016) P and Singh, K and Misra, P and Tiwari, R. Coralline algal and larger foraminiferal facies in the Prang Formation (middle-upper eocene). J Palaeontol Soc India 61:99–109

Jung S, Park J, Lee S (2019) Polyphonic sound EventDetection using convolutional bidirectional Lstm and synthetic data-based transfer learning. In: ICASSP 2019 -2019 IEEE International Conference on Acoustics, Speech andSignal Processing (ICASSP). IEEE, pp 885–889. https://doi.org/10.1109/ICASSP.2019.8682909

Komaroff E (2020) Relationships between p-values and pearson correlation coefficients, type 1 errors and effect size errors, under a true null hypothesis. J Stat Theory Pract 14:49. https://doi.org/10.1007/s42519-020-00115-6

Kozubowski TJ, Meerschaert MM, Gustafson G (2008) A new stochastic method for fracture transmissivity assessment. Water Resour Res 44. https://doi.org/10.1029/2007WR006053

Kumar R, Naik GC (2006) Late eocene to early oligocene depositional system in assam shelf. In: 6th international conference & exposition on petroleum geophysics, Kolkata. pp 904–910, P-264

Li J, Gao G (2023) Digital construction of geophysical well logging curves using the LSTM deep-learning network. Front Earth Sci. https://doi.org/10.3389/feart.2022.1041807

Mahmoodabadi MR, Zahiri S (2023) Formation evaluation and rock type classification of Asmari Formation based on petrophysical-petrographic data: a case study in one of the super fields in Iran southwest. Petroleum 9(2):143–165. https://doi.org/10.1016/j.petlm.2022.01.009

Mandal K, Dasgupta R (2013) Upper Assam Basin and its basinal depositional history. 10th Biennial International Conference & Exposition, KOCHI, P292

Misra S, Sarkar S, Mitra P, Shastri H (2024) Statistical downscaling of high-resolution precipitation in India using convolutional long short-term memory networks. J Water Clim Chang 15(3):1120–1141. https://doi.org/10.2166/wcc.2024.497

Mukherjee B, Sain K, Wu X (2024a) Missing log prediction using machine learning perspectives: A case study from upper Assam basin. Earth Sci Inform. https://doi.org/10.1007/s12145-024-01323-5

Mukherjee B, Srivardhan V, Sain K, Gupta A (2024b) Chaotic behavior of geophysical logs for stratigraphic hiatuses: A case study from Upper Assam Shelf, India. J Asian Earth Sci 271:106233.  https://doi.org/10.1016/j.jseaes.2024.106233

Mukhopadhyay SK (2012) Guembelitria (foraminifera) in the upper cretaceous-lower paleocene succession of the Langpar Formation, India and its paleoenvironmental implication. J Geol Soc India 79:627–651. https://doi.org/10.1007/s12594-012-0101-4

Nelson AS (2018) Physical geology. https://www2.tulane.edu/~sanelson/eens1110/sedrx.htm . Accessed 16 Jan 2024

Palarea-Albaladejo J, Martín-Fernández JA (2015) zCompositions — R package for multivariate imputation of left-censored data under a compositional approach. Chemom Intell Lab Syst 143:85–96. https://doi.org/10.1016/j.chemolab.2015.02.019

Peng H, Long F, Ding C (2005) Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 27(8):1226–1238

Pham N, Wu X, Zabihi NE (2020) Missing well log prediction using convolutional long short-term memory network. Geophysics 85(4):WA159–WA171. https://doi.org/10.1190/geo2019-0282.1

Ramaswamy S, Rastogi R, Shim K (2000) Efficient algorithms for mining outliers from large data sets. SIGMOD Rec 29(2):427–438. https://doi.org/10.1145/335191.335437

Rangarao A (1984) Geology and hydrocarbon potential of a part of Assam Arakan Basin and its Adjacent Region. Petroleum Asia J 6:127–158

Rifal G, Abidin TF, Fuadi Z (2022) Predicting missing values of well logs and classifying lithology using machine learning algorithms. 2022 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE), Yogyakarta, Indonesia. pp 408–412. https://doi.org/10.1109/ICITISEE57756.2022.10057707

Chapter   Google Scholar  

Rolon L, Mohaghegh SD, Ameri S, Gaskari R, McDaniel B (2009) Using artificial neural networks to generate synthetic well logs. J Nat Gas Sci Eng 1(4–5):118–133. https://doi.org/10.1016/j.jngse.2009.08.003

Sarkar S (2015) Calcareous Algal-Rich carbonate sediments from Assam shelf, N-E India: an overview of the palaeoenvironmental implications. In: Mukherjee S (ed) Petroleum geosciences: Indian contexts. Springer Geology. Springer, pp 175–189. https://doi.org/10.1007/978-3-319-03119-4_7

Schuster M, Paliwal KK (1997) Bidirectional recurrent neural networks. IEEE Trans Signal Process 45(11):2673–2681. https://doi.org/10.1109/78.650093

Serra O (1984) Fundamentals of well-log Interpretation-1. Acquisition of logging data. Elsevier, Amsterdam, Netherlands

Shi X, Chen Z, Wang H, Yeung D, Wong W, Woo W (2015) Convolutional LSTM network: a machine learning approach for precipitation nowcasting. ArXiv. /abs/1506.04214

Singh LS, Singh KM (2018) Geology, structure and tectonics of Shillong Plateau. Int J Emerg Technol Innov Res 5(8):1043–1051. http://www.jetir.org

Smith JH (2007) A method for calculating pseudo sonics from E-logs in a clastic geologic setting. Gulf Coast Assoc Geol Soc Trans 57:1–4

Srivardhan V (2022) Adaptive boosting of random forest algorithm for automatic petrophysical interpretation of well logs. Acta Geod Geophys 58:495–508. https://doi.org/10.1007/s40328-022-00385-5

Sun Y, Zhang J, Yu Z, Zhang Y, Liu Z (2023a) Bidirectional long short-term neural network based on the attention mechanism of the residual neural network (ResNet–BiLSTM–Attention) predicts porosity through well logging parameters. ACS Omega 8(26):24083–24092. https://doi.org/10.1021/acsomega.3c03247

Sun Y, Zhang J, Yu Z, Zhang Y, Liu Z (2023b) The bidirectional gated recurrent unit network based on the inception module (Inception-BiGRU) predicts the missing data by well logging data. ACS Omega 8(30):27710–27724. https://doi.org/10.1021/acsomega.3c03677

Sun Y, Zhang J, Zhang Y (2024a) New deep learning network (deep residual shrinkage network) is applied for lithology identification to search for the reservoir of CO2 geological storage. Energy Fuels 38(3):2200–2211. https://doi.org/10.1021/acs.energyfuels.3c04548

Sun Y, Zhang J, Zhang Y (2024b) Gate recurrent unit network combines with Adaboost algorithm to classify fluid types by well logging parameters. Phys Fluids 36(1):016603. https://doi.org/10.1063/5.0181527

Sun Y, Pang S, Zhang J, Zhang Y (2024c) DRSN-GAF: Deep Residual Shrinkage Network (DRSN) for lithology classification through well logging data transformed by gram angle field. IEEE Geosci Remote Sens Lett 21:1–5. https://doi.org/10.1109/LGRS.2023.3346382

Sun Y, Pang S, Zhang J, Zhang Y (2024d) Porosity prediction through well logging data: a combined approach of convolutional neural network and transformer model (CNN-transformer). Phys Fluids 36(2):026604. https://doi.org/10.1063/5.0190078

Sun Y, Pang S, Zhang Y (2024e) Application of adaboost-transformer algorithm for lithology identification based on well logging data. IEEE Geosci Remote Sens Lett 21:1–5. https://doi.org/10.1109/LGRS.2024.3372513

Sun Y, Pang S, Zhang Y (2024f) Advancing fluid identification via well-logging data: leveraging persistent initialization and transformer modeling. Phys Fluids 36(4): 046611. https://doi.org/10.1063/5.0201664

Verma Y (2024) Complete guide to bidirectional LSTM with python codes. https://analyticsindiamag.com/complete-guide-to-bidirectional-lstm-with-python-codes/#:~:text=In%20bidirectional%2C%20our%20input%20flows,future%20and%20the%20past%20information . Accessed 24 Feb 2024

Wang J, Cao J, Zhao S, Qi Q (2022) S-wave velocity inversion and prediction using a deep hybrid neural network. Sci China Earth Sci 65. https://doi.org/10.1007/s11430-021-9870-8

Yang L, Wang S, Chen X, Chen W, Saad OM, Chen Y (2023) Deep-learning missing well-log prediction via long short-term memory network with attention-period mechanism. Geophysics 88(1):D31–D48. https://doi.org/10.1190/GEO2020-0749.1

Youzhuang S, Junhua Z, Yongan Z (2023) Echo state neural network based on an improved gray wolf algorithm predicts porosity through logging data. ACS Omega 8(23):21182–21194. https://doi.org/10.1021/acsomega.3c02217

Zaman F, Bezbaruah D (2019) Morphotectonic aspects in a part of Naga-Schuppen belt, Assam-Nagaland region, Northeast India. Sci Vis 19(1):6–11. https://doi.org/10.33493/scivis.19.01.02

Zhang D, Chen Y, Jin M (2018) Synthetic well logs generation via recurrent neural networks. Petroleum Explor Dev 45(04):629–639. https://doi.org/10.1016/s1876-3804(18)30068-5

Zhang C (2021) Spatio-Temporal ConvLSTM for Crash Prediction. https://towardsdatascience.com/spatial-temporal-convlstm-for-crash-prediction-411909ed2cfa . Assessed 19 Jun 2024

Zhou X, Cao J, Wang X, Wang J, Liao W (2021) Data-driven S-wave velocity prediction method via a deep-learning-based deep convolutional gated recurrent unit fusion network. Prog Geophys 86:M185–M196. https://doi.org/10.1190/geo2020-0886.1

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Acknowledgements

We gratefully acknowledged Oil India Limited (OIL), Duliajan, Assam, and National Data Repository (NDR), Directorate General of Hydrocarbons (DGH), Noida, Delhi, India. Our special gratitude to Mr. S. Rath, Former Director of Exploration & Operations (OIL) for his initiatives to provide the well log data for research purpose. We thankful to the Chief Editor Prof. Hassan Babaie and other anonymous reviewers for their constructive suggestions to improve the manuscript within necessary time and efforts. KS acknowledges SERB-DST for providing the JC Bose National Fellowship. This work carried WIHG contribution number WIHG/0378. BM gratefully acknowledge the Science and Engineering Research Board (SERB), Government of India (Project Number: CRG/2023/001267) for partly sponsoring this work.

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

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BM: Conceptualization, Developed codes, Data curation, Methodology, Analysis, Investigation, Validation, Written original draft & Finalized. KS: Resources & Project Management. SK: Literature review, Software, Formal analysis, Validation. SV: Editing.

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Supplementary file1 (DOCX 6858 KB)

Minimum redundancy maximum relevance (mrmr).

The Minimum Redundancy Maximum Relevance (MRMR) algorithm is a feature selection method designed to choose a subset of relevant features for model construction. It aims to select features that are highly relevant to the target variable while also being minimally redundant with each other. This approach balances between the relevance of the features to the target variable and the redundancy among the features themselves. The MRMR algorithm has been widely used in various fields, including bioinformatics, image processing, and text classification, for tasks that require efficient feature selection to improve the performance of machine learning models.

The MRMR algorithm is based on the concept of mutual information, which quantifies the amount of information obtained about one random variable through another. The goal of MRMR is to select features \({\left\{X\right.}_{1}, {X}_{2},\dots ..,{X}_{m}\}\) from a set of ‘N’ features that maximize the relevance to the target variable Y and minimize the redundancy among themselves.

Relevance is measured by the mutual information between each feature \({X}_{i}\) and the target variable Y. The relevance of a feature set S with respect to Y is given by (Peng et al. 2005 ):

where, \(\text{I}\left({\text{X}}_{\text{i}};\text{Y}\right)\) is the mutual information between feature \({\text{X}}_{\text{i}}\) and Y, and |S| is the cardinality of the set S.

Redundancy is measured by the mutual information among the features within the set S. The redundancy of a feature set S is given by (Ding and Peng 2005 ):

where, \(\text{I}\left({\text{X}}_{\text{i}};{\text{X}}_{\text{j}}\right)\) is the mutual information between feature \({\text{X}}_{\text{i}}\) and feature \({\text{X}}_{\text{j}}\) .

The mutual information I(X; Y) is a key component in both the relevance and redundancy calculations. It is defined as (Ding and Peng 2005 ):

where \(p(x,y)\) is the joint probability distribution function of X and Y, and \(p\left(x\right)\) and \(p(y)\) are the marginal probability distribution functions of X and Y, respectively.

The objective of the MRMR algorithm is to find a set of features S that maximizes the difference between relevance and redundancy. This can be formalized as (Ding and Peng 2005 ):

This objective ensures that the selected features are both relevant to the target and minimally redundant with each other.

Given the exponential number of potential combinations (2 ∣Ω∣ , where Ω represents the entire set of features), MRMR employs a forward addition strategy to rank features based on their Mutual Information Quotient (MIQ), thus reducing computational demand to O(∣Ω∣⋅∣S∣). The MIQ for a feature \(x\) is defined as the ratio of its relevance to redundancy (Ding and Peng 2005 ):

It assigns scores to features based on their importance, where a higher score indicates greater importance. A significant difference in scores between consecutive features suggests a higher confidence in the selection of the preceding feature. The ranking process is as follows: (i) Start with an empty set S and select the feature with the highest relevance from Ω, adding it to S; (ii) Identify features in the complementary set S c with nonzero relevance and zero redundancy; (iii) If no such features exist in S c , proceed to the next step; otherwise, add the feature with the highest relevance and zero redundancy to S; (iv) Continue to add features to S with nonzero relevance and redundancy, selecting those with the highest MIQ value; (v) Once all features in S c have either zero relevance or have been added to S, include the remaining features with zero relevance in a random order.

This iterative process ensures that the selected feature set S optimally balances relevance and redundancy, facilitating the identification of a subset that effectively represents the response variable with minimized computational complexity.

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Mukherjee, B., Sain, K., Kar, S. et al. Deep learning-aided simultaneous missing well log prediction in multiple stratigraphic units: a case study from the Bhogpara oil field, Upper Assam, Northeast India. Earth Sci Inform (2024). https://doi.org/10.1007/s12145-024-01425-0

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    Case study method: the art of discussion. Watch on. Executive Education Learning MBA. StandOut. Whether you're a young professional or a member of the board, IESE StandOut offers advice and inspiration for leaders who want to develop throughout the different stages of their careers.

  22. The Case Study Method in Training and Management Education

    The case study is a method which provides descriptive situations which stimulate trainees to make decisions. The purpose of the case method is to make trainees apply what they know, develop new ideas to manage a situation or solve a problem. The focus is more on the approach the trainee uses rather than on the solution.

  23. Is there a difference between the case method and a case study

    While the case study and the case method are often confused and the terms used interchangeably, they actually are not the same thing. The difference becomes critical when considered in terms of learning. A case study is a story about a situation or event that contains a problem or issue, usually a real situation.

  24. 12 Case Study Method Advantages and Disadvantages

    A case study is an investigation into an individual circumstance. The investigation may be of a single person, business, event, or group. The investigation involves collecting in-depth data about the individual entity through the use of several collection methods. Interviews and observation are two of the most common forms of data collection used.

  25. A case study: exploring the impact of 3D printed models on cognitive

    Methods: Using case study methodology, we explore how learners and an instructor used 3D printed bones to augment their learning interactions during a clinical skills laboratory on shoulder on palpation, and to describe the instructional strategies with 3D printed bones that may support learning.

  26. NTRS

    Curating AI-Ready Datasets for Equity and Environmental Justice: A Data-Centric AI Case Study An equitable and environmentally just community is essentialin order to avoid disproportionate burden borne by vulnerablecommunities. This need becomes pressing in the aftermathof an extreme event such as disaster or hazard when it is diffi-cult for ...

  27. Leveraging Parameter Efficient Training Methods for Low Resource Text

    In this study, we explore Low-Rank Adaptation of Large Language Models (LoRA) and adapter methods for low-resource text classification. We show that these methods are competitive with full fine-tuning and can be used without loss in accuracy.

  28. Deep learning-aided simultaneous missing well log prediction in

    The research showcases the effectiveness of deep learning architectures in predicting missing logs, a crucial aspect for E&P companies, as log data is vital for decision-making. The study presents a novel method for preserving data integrity and facilitating informed decision-making.