p-sig. (exact)
TOT_PRE | 89 | 11 | 37 | 25.14 | 5.436 | −0.257 | −0.197 | 0.309 |
RD_PRE | 89 | 0 | 8 | 2.97 | 1.815 | 0.279 | −0.387 | 0.036 |
RI_PRE | 89 | 2 | 14 | 4.21 | 1.627 | 2.77 | 13.98 | 0.000 |
RP_PRE | 89 | 1 | 11 | 5.69 | 2.248 | 0.186 | −0.370 | 0.302 |
TD_PRE | 89 | 2 | 11 | 6.23 | 1.796 | 0.118 | −0.169 | 0.067 |
SP_PRE | 89 | 1 | 11 | 6.01 | 2.058 | −0.447 | −0.262 | 0.015 |
TOT_POST | 89 | 16 | 42 | 32.62 | 5.763 | −0.807 | 0.447 | 0.161 |
RD_POST | 89 | 0 | 10 | 4.81 | 2.189 | −0.069 | −0.692 | 0.059 |
RI_POST | 89 | 2 | 9 | 5.37 | 1.547 | 0.031 | −0.287 | 0.016 |
RP_POST | 89 | 0 | 12 | 8.27 | 2.295 | −0.818 | 1.198 | 0.056 |
TD_POST | 89 | 3 | 11 | 7.82 | 1.748 | −0.540 | 0.117 | 0.033 |
SP_POST | 89 | 2 | 10 | 6.68 | 1.812 | −0.617 | 0.508 | 0.027 |
TOT_PRE, PENCRISAL pre-test; RD_PRE, Deductive reasoning pre-test; RI_PRE, Inductive reasoning pre-test; RP_PRE, Practical reasoning pre-test; TD_PRE, Decision making pre-test; SP_PRE, Problem solving pre-test; TOT_POST, PENCRISAL post-test; RD_ POST, Deductive reasoning post-test; RI_ POST, Inductive reasoning post-test; RP_ POST, Practical reasoning post-test; TD_ POST, Decision making post-test; SP_ POST, Problem solving post-test; Min, minimum, Max, maximum, Asym, asymmetry; and Kurt, kurtosis.
Description of metacognition measurement (MAI).
Variables | | Min. | Max. | Media | | Asym. | Kurt. | K-S p-sig (exact) |
---|
TOT_MAI_PRE | 89 | 145 | 233 | 192.13 | 16.636 | −0.071 | 0.275 | 0.557 |
Decla_PRE | 89 | 22 | 37 | 30.58 | 3.391 | −0.594 | −0.152 | 0.055 |
Proce_PRE | 89 | 9 | 19 | 14.52 | 2.018 | −0.560 | 0.372 | 0.004 |
Condi_PRE | 89 | 8 | 23 | 18.04 | 3.003 | −0.775 | 0.853 | 0.013 |
CONO_PRE | 89 | 44 | 77 | 63.15 | 6.343 | −0.384 | 0.044 | 0.445 |
Plani_PRE | 89 | 10 | 31 | 24.35 | 4.073 | −0.827 | 0.988 | 0.008 |
Orga_PRE | 89 | 26 | 48 | 38.20 | 4.085 | −0.307 | 0.331 | 0.022 |
Moni_PRE | 89 | 15 | 35 | 25.24 | 3.760 | −0.436 | 0.190 | 0.005 |
Depu_PRE | 89 | 14 | 25 | 20.71 | 2.144 | −0.509 | 0.310 | 0.004 |
Eva_PRE | 89 | 12 | 28 | 20.49 | 3.310 | −0.178 | −0.044 | 0.176 |
REGU_PRE | 89 | 97 | 160 | 128.99 | 12.489 | −0.070 | 0.043 | 0.780 |
OT_MAI_POST | 89 | 138 | 250 | 197.65 | 17.276 | −0.179 | 0.969 | 0.495 |
Decla_POST | 89 | 23 | 39 | 31.21 | 3.492 | −0.407 | 0.305 | 0.020 |
Proce_POST | 89 | 8 | 20 | 15.24 | 2.116 | −0.723 | 0.882 | 0.001 |
Condi_POST | 89 | 0 | 24 | 18.85 | 2.874 | −0.743 | 0.490 | 0.029 |
CONO_ POST | 89 | 44 | 82 | 65.30 | 6.639 | −0.610 | 1.014 | 0.153 |
Plani_ POST | 89 | 12 | 33 | 25.51 | 3.659 | −0.539 | 0.994 | 0.107 |
Orga_ POST | 89 | 27 | 48 | 39.40 | 4.150 | −0.411 | 0.053 | 0.325 |
Moni_ POST | 89 | 17 | 35 | 26.44 | 3.296 | −0.277 | 0.421 | 0.143 |
Depu_ POST | 89 | 15 | 24 | 20.40 | 2.245 | −0.214 | −0.531 | 0.023 |
Eva_ POST | 89 | 12 | 29 | 20.60 | 3.680 | −0.083 | −0.098 | 0.121 |
REGU_PRE | 89 | 94 | 168 | 132.35 | 12.973 | −0.227 | 0.165 | 0.397 |
TOT_MAI_PRE, MAI pre-test; Decla_PRE, Declarative pre-test; Proce_PRE, Procedural pre-test; Condi_PRE, Conditional pre-test; CONO_PRE, Knowledge pre-test; Plani_PRE, Planning pre-test; Orga_PRE, Organization pre-test; Moni_PRE, Monitoring pre-test; Depu_PRE, Troubleshooting pre-test; Eva_PRE, Evaluation pre-test; REGU_PRE, Regulation pre-test; TOT_MAI_POST, MAI post-test; Decla_ POST, Declarative post-test; Proce_ POST, Procedural post-test; Condi_ POST, Conditional post-test; CONO_ POST, Knowledge post-test; Plani_ POST, Planning post-test; Orga_POST, Organization post-test; Moni_ POST, Monitoring post-test; Depu_ POST, Troubleshooting post-test; Eva_ POST, Evaluation post-test; and REGU_ POST, Regulation post-test;
As we see in the description of all study variables, the evidence is that the majority of them adequately fit the normal model, although some present significant deviations which can be explained by sample size.
Next, to verify whether there were significant differences in the metacognition variable based on measurements before and after the intervention, we contrasted medians for samples related with Student’s t -test (see Table 3 ).
Comparison of the METAKNOWLEDGE variable as a function of PRE-POST measurements.
Variables | | | | | Mean Difference (CI 95%) | value | gl. | p-sig. (bilateral) |
---|
TOT_MAI | Pre. | 89 | 192.13 | 16.636 | −8.152_−2.882 | −4.161 | 88 | 0.000 |
| Post. | 89 | 197.65 | 17.276 | | | | |
Decla | Pre. | 89 | 30.58 | 3.391 | −1.235_−0.023 | −2.063 | 88 | 0.042 |
| Post. | 89 | 31.21 | 3.492 | | | | |
Proce | Pre. | 89 | 14.52 | 2.018 | −1.210_−0.228 | −2.911 | 88 | 0.005 |
| Post. | 89 | 15.24 | 2.116 | | | | |
Condi. | Pre. | 89 | 18.04 | 3.003 | −1.416_−0.202 | −2.65 | 88 | 0.010 |
| Post. | 89 | 18.85 | 2.874 | | | | |
CONO | Pre. | 89 | 63.15 | 6.343 | −3.289_−1.025 | −3.787 | 88 | 0.000 |
| Post. | 89 | 65.3 | 6.639 | | | | |
Plan | Pre. | 89 | 24.35 | 4.073 | −1.742_−0.573 | −3.934 | 88 | 0.000 |
| Post. | 89 | 25.51 | 3.659 | | | | |
Orga | Pre. | 89 | 38.2 | 4.085 | −2.054_−0.350 | −2.803 | 88 | 0.006 |
| Post. | 89 | 39.4 | 4.15 | | | | |
Moni | Pre. | 89 | 25.24 | 3.76 | −1.924_−0.480 | −3.308 | 88 | 0.001 |
| Post. | 89 | 26.44 | 3.296 | | | | |
TS | Pre. | 89 | 20.71 | 2.144 | −0.159_−0.766 | 1.303 | 88 | 0.196 |
| Post. | 89 | 20.4 | 2.245 | | | | |
Eval | Pre. | 89 | 20.49 | 3.31 | −0.815_−0.613 | −0.282 | 88 | 0.779 |
| Post. | 89 | 20.6 | 3.68 | | | | |
REGU | Pre. | 89 | 128.99 | 12.489 | −5.364_−1.356 | −3.331 | 88 | 0.001 |
| Post. | 89 | 132.35 | 12.973 | | | | |
The results show that there are significant differences in the metaknowledge scale total and in most of its dimensions, where all the post medians for both the scale overall and for the three dimensions of the knowledge factor (declarative, procedural, and conditional) are higher than the pre-medians. However, in the cognition regulation dimension, there are only significant differences in the total and in the planning, organization, and monitoring dimensions. The medians are also greater in the post-test than the pre-test. However, the troubleshooting and evaluation dimensions do not differ significantly after intervention.
Finally, for critical thinking skills, the results show significant differences in the scale total and in the five factors regarding the measurement time, where performance medians rise after intervention (see Table 4 ).
Comparison of the CRITICAL THINKING variable as a function of PRE-POST measurements.
Variables | | N | M | SD | Student’s -test |
---|
Mean difference (CI 95%) | value | gl. | p-sig. (bilateral) |
---|
TOT | Pre. | 89 | 25.146 | 5.436 | −8.720_−6.246 | −12.023 | 88 | 0.000 |
| Post. | 89 | 32.629 | 5.763 | | | | |
RD | Pre. | 89 | 2.978 | 3.391 | −2.298_−1.364 | −7.794 | 88 | 0.000 |
| Post. | 89 | 4.809 | 3.492 | | | | |
RI | Pre. | 89 | 4.213 | 1.627 | −1.608_−0.706 | −5.097 | 88 | 0.000 |
| Post. | 89 | 5.371 | 1.547 | | | | |
RP | Pre. | 89 | 18.04 | 2.248 | −1.416_−0.202 | −10.027 | 88 | 0.000 |
| Post. | 89 | 18.85 | 2.295 | | | | |
TD | Pre. | 89 | 63.15 | 1.796 | −3.083_−2.063 | −6.54 | 88 | 0.000 |
| Post. | 89 | 65.3 | 1.748 | | | | |
SP | Pre. | 89 | 24.35 | 2.058 | −1.135_−0.213 | −2.906 | 88 | 0.005 |
| Post. | 89 | 25.51 | 1.812 | | | | |
These results show how metacognition improves due to CT intervention, as well as how critical thinking also improves with metacognitive intervention and CT skills intervention. Thus, it improves how people think about thinking as well as about the results achieved, since metacognition supports decision-making and final evaluation about proper strategies to solve problems.
Discussion and Conclusions
The general aim of our study was to know whether a critical thinking intervention program can also influence metacognitive processes. We know that our teaching methodology improves cross-sectional skills in argumentation, explanation, decision-making, and problem-solving, but we do not know if this intervention also directly or indirectly influences metacognition. In our study, we sought to shed light on this little-known point. If we bear in mind the centrality of how we think about thinking for our cognitive machinery to function properly and reach the best results possible in the problems we face, it is hard to understand the lack of attention given to this theme in other research. Our study aimed to remedy this deficiency somewhat.
As said in the introduction, metacognition has to do with consciousness, planning, and regulation of our activities. These mechanisms, as understood by many authors, have a blended cognitive and non-cognitive nature, which is a conceptual imprecision; what is known, though, is the enormous influence they exert on fundamental thinking processes. However, there is a large knowledge gap about the factors which make metacognition itself improve. This second research lacuna is what we have partly aimed to shrink here as well with this study. Our guide has been the idea of knowing how to improve metacognition from a teaching initiative and from the improvement of fundamental critical thinking skills.
Our study has shed light in both directions, albeit in a modest way, since its design does not allow us to unequivocally discern some of the results obtained. However, we believe that the data provide relevant information to know more about existing relations between skills and metacognition, something which has seen little contrast. These results allow us to better describe these relations, guiding the design of future studies which can better discern their roles. Our data have shown that this relation is bidirectional, so that metacognition improves thinking skills and vice versa. It remains to establish a sequence of independent factors to avoid this confusion, something which the present study has aided with to be able to design future research in this area.
As the results show, total differences in almost all metaknowledge dimensions are higher after intervention; specifically, we see how in the knowledge factor the declarative, procedural, and conditional dimensions improve in post-measurements. This improvement moves in the direction we predicted. However, the cognitive regulation dimension only shows differences in the total, and in the planning, organization, and regulation dimensions. We can see how the declarative knowledge dimensions are more sensitive than the procedural ones to change, and within the latter, the dimensions over which we have more control are also more sensitive. With troubleshooting and evaluation, no changes are seen after intervention. We may interpret this lack of effects as being due to how everything referring to evaluating results is highly determined by calibration capacity, which is influenced by personality factors not considered in our study. Regarding critical thinking, we found differences in all its dimensions, with higher scores following intervention. We can tentatively state that this improved performance can be influenced not only by interventions, but also by the metacognitive improvement observed, although our study was incapable of separating these two factors, and merely established their relation.
As we know, when people think about thinking they can always increase their critical thinking performance. Being conscious of the mechanisms used in problem-solving and decision-making always contributes to improving their execution. However, we need to go into other topics to identify the specific determinants of these effects. Does performance improve because skills are metacognitively benefited? If so, how? Is it only the levels of consciousness which aid in regulating and planning execution, or do other factors also have to participate? What level of thinking skills can be beneficial for metacognition? At what skill level does this metacognitive change happen? And finally, we know that teaching is always metacognitive to the extent that it helps us know how to proceed with sufficient clarity, but does performance level modify consciousness or regulation level of our action? Do bad results paralyze metacognitive activity while good ones stimulate it? Ultimately, all of these open questions are the future implications which our current study has suggested. We believe them to be exciting and necessary challenges, which must be faced sooner rather than later. Finally, we cannot forget the implications derived from specific metacognitive instruction, as presented at the start of this study. An intervention of this type should also help us partially answer the aforementioned questions, as we cannot obviate what can be modified or changed by direct metacognition instruction.
Data Availability Statement
Ethics statement.
Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. The patients/participants provided their written informed consent to participate in this study.
Author Contributions
SR and CS contributed to the conception and design of the study. SR organized the database, performed the statistical analysis, and wrote the first draft of the manuscript. SR, CS, and CO wrote sections of the manuscript. All authors contributed to the article and approved the submitted version.
This study was partly financed by the Project FONDECYT no. 11220056 ANID-Chile.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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Creating involves putting elements together to form a coherent or functional whole. Creating includes reorganizing elements into a new pattern or structure through planning. This is the highest and most advanced level of Bloom's Taxonomy. Build a model and use it to teach the information to others.
See why leading organizations rely on MasterClass for learning & development. Fostering higher-order thinking skills (HOTS) is an important aspect of teaching students at all stages of their lives. These skills make students effective problem-solvers and form the building blocks of critical and creative thinking on a wider scale.
One of the newest models promoting higher-level thinking is embedded in the 21st-Century Skills category, wherein critical thinking skills are connected to literacy skills (technology, media, etc.) and life skills (leadership, social, etc.). This not only moves away from the standard rote memory, simple questioning patterns, but also provides ...
Higher-order thinking skills (HOTS) is a concept popular in American education. It distinguishes critical thinking skills from low-order learning outcomes, such as those attained by rote memorization. HOTS include synthesizing, analyzing, reasoning, comprehending, application, and evaluation. HOTS is based on various taxonomies of learning ...
The taxonomy's lack of flexibility is another common critique. By suggesting that learning follows a fixed progression that starts with lower-order skills before progressing to higher-level thinking skills, it ignores the fact that learning is complex, dynamic, and frequently involves engaging multiple cognitive skills simultaneously.
It provides exactly what its title implies: a model for the national assessment of higher order thinking. The paper consists of a preface and five main sections. The preface delineates the problem of lower order learning, summarizes the state of research into critical thinking and educational reform, and explains the five-part structure of the ...
Higher-order thinking questions are questions that you can ask in order to stimulate thinking that requires significant knowledge mastery and data manipulation. Generally, higher-order thinking involves thinking from the top 3 levels of bloom's taxonomy: analysis, evaluation, and knowledge creation. The term "higher-order" is used because ...
Yet the quality of our life and that of which we produce, make, or build depends precisely on the quality of our thought." Critical thinking is therefore the foundation of a strong education. Using Bloom's Taxonomy of thinking skills, the goal is to move students from lower- to higher-order thinking:
This article explores the development of a professional enhancement program designed to prepare teachers to teach higher order thinking skills. Higher order thinking is the primary focus of many state and national tests that are mandated. Teachers play a crucial role in preparing students to be thinkers. Institutions of higher learning must ...
It encourages higher-order thinking skills and promotes deep understanding. Is Bloom's Taxonomy relevant to all subjects and grade levels? Yes, Bloom's Taxonomy is applicable to all subjects ...
Bloom's Taxonomy of Cognitive Levels [Revised] Bloom's Taxonomy defines six different levels of thinking. The levels build in increasing order of difficulty from basic, rote memorization to higher (more difficult and sophisticated) levels of critical thinking skills. For example, a test question that requires simple factual recall shows that ...
Critical thinking is one of the most frequently discussed higher order skills, believed to play a central role in logical thinking, decision making, and problem solving (Butler, 2012; Halpern, 2003).It is also a highly contentious skill in that researchers debate about its definition; its amenability to assessment; its degree of generality or specificity; and the evidence of its practical ...
Which type of exam promotes higher-level critical-thinking skills? Essay exams Surveying the entire exam, noting the ease and difficulty of the questions and their point values, and planning out which questions to put most effort into are part of what guideline to a successful essay exam?
Get tips for elevating students' critical thinking skills with help from the latest tech tools. Learn how to create a classroom environment where students are comfortable with pondering, thinking and guessing. Get resources and tools you can use to help students practice critical thinking.
Bloom's Taxonomy is a framework that starts with these two levels of thinking as important bases for pushing our brains to five other higher order levels of thinking—helping us move beyond remembering and recalling information and move deeper into application, analysis, synthesis, evaluation, and creation—the levels of thinking that your ...
Critical thinking skills are some of the most challenging for the student nurse to master. By introducing examinations that foster CT early in the curriculum, the student will have more time to develop and polish these skills. 8. Recommendations. Each type of examination has the potential to develop different skill sets in students.
According to Piaget's theory of cognitive development, kids begin to develop higher-order thinking skills during the concrete operational stage, which typically occurs in upper elementary school, sometime between the ages of 7 and 11. During this stage, kids are able to think logically and understand cause-and-effect relationships.
Higher-order questions are those that the students cannot answer just by simple recollection or by reading the information " verbatim " from the text. Higher-order questions put advanced cognitive demand on students. They encourage students to think beyond literal questions. Higher-order questions promote critical thinking skills because ...
But if you find yourself needing to use multiple choice tests, you can make the best of this situation with these three approaches. 1. Real-world Scenarios. One of the most effective ways to assess higher-order thinking is to use scenario-based questions, particularly ones that simulate real work experiences.
Critical thinking is a higher-order cognitive skill that is indispensable to students, readying them to respond to a variety of complex problems that are sure to arise in their personal and professional lives. The cognitive skills at the foundation of critical thinking are analysis, interpretation, evaluation, explanation, inference, and self ...
Abstract. More and more often, we hear that higher education should foment critical thinking. The new skills focus for university teaching grants a central role to critical thinking in new study plans; however, using these skills well requires a certain degree of conscientiousness and its regulation. Metacognition therefore plays a crucial role ...
Today's economy demands higher order thinking skills (HOTS), and the public education system has a critical role in supporting students' acquisition of HOTS. ... King A. (2002). Structuring peer interaction to promote high-level cognitive processing. Theory Into ... HAJIME MITANI, is an assistant professor of educational leadership at Rowan ...
There are different types of exams that are designed to evaluate students' critical-thinking skills. However, one type of exam that promotes higher-level critical-thinking skills is the essay examination. An essay examination is an exam that requires the student to write an essay response to a question or prompt.