Metacomprensión y desarrollo cognitivo en la autorregulación del aprendizaje del adolescente
Bibliographic record
Abstract
Introduction: Mental processes are fundamental in the learning of adolescents, with the development of cognition and metacognition being relevant to improve self-regulation, specifically in the metacomprehensive modality and its components: Planning, Monitoring, Evaluation, and Conditional Knowledge. Objective: To analyze the mental processes that enable metacomprehension in the cognitive development of adolescents in educational institutions in Colombia. Methodology: Quantitative approach with a non-experimental cross-sectional design and correlational scope. The MAI –Metacognitive Skills Inventory– and MoCA –Montreal Cognitive Assessment– instruments were applied to a population of 407 high school students from rural and urban areas in different regions of Colombia. Results: The main findings regarding metacomprehension and cognitive development were reflected in the majority of students’ ability to evaluate their learning process using different metacognitive strategies. Likewise, they plan their academic activities, organize their study time, enabling them to solve problems, prioritize goals, and select the best tools; they know how to monitor their learning processes during task development and adjust them to improve performance. Conclusions: Metacognition, in its metacomprehensive modality, is one of the most relevant processes in Learning Self-Regulation, allowing adolescents to be aware of how and to what extent they learn, enabling the execution of processes such as planning, monitoring, control, and self-evaluation of learning, which are closely related to the variable of cognitive development of attention and its subprocesses: orientation, concentration, and flexibility.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".