Analysis of Metacognitive Awareness of Primary and Secondary School Students in Terms of Some Variables
Bibliographic record
Abstract
Metacognition is important for learners of all ages. Therefore, this situation raises all important questions about how to develop metacognitive skills and habits in the classroom regardless of primary, secondary and high school. The aim of this study is to investigate the metacognitive awareness of primary and secondary school students according to the variables of gender, grade level and region. The model of this research, which was conducted to determine the metacognitive awareness levels of the students in primary and secondary school, is a survey model. Metacognitive Awareness Scale was administered to 399 students (195 girls, 204 boys) in third, fourth and fifth grade. The research shows that the metacognitive awareness scores of primary and secondary school students do not differentiate in gender. According to another result obtained in the research; metacognitive awareness scores of pirmary and secondary school students differentiate in locality. The students’ metacognitive awareness is higher than that of the urban local. When the metacognitive awareness scores were examined according to the grade level, it was seen that the metacognitive awareness scores of the fifth grade students were higher than the other groups. However, there is no significant difference between the metacognitive awareness scores of the third and fourth grade students. Similar studies aiming to examine the development of metacognitive awareness of students are thought to be useful in planning the education process in this direction.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".