Using Context-Based Learning to Enhance Thai Grade 6 Student Scientific Reasoning Abilities
Bibliographic record
Abstract
The purpose of this study was to examine the impact of a context-based learning (CBL) management plan on the scientific reasoning abilities of Grade 6 students in Thailand. The participants consisted of 13 students from a public school in the northeastern region. The research instruments included a two-tier multiple-choice test to assess scientific reasoning abilities and an observation checklist to monitor reasoning behavior during the learning sessions. Data were analyzed using descriptive statistics, including frequency, percentage, and relative development scores, to measure student improvement. The results indicated a significant increase in students' scientific reasoning abilities, with an average score improvement from 13.14% before the intervention to 56.00% after. The majority of students demonstrated moderate to high improvement in their reasoning skills. This study contributes to the growing body of evidence supporting the effectiveness of context-based learning in enhancing critical thinking and problem-solving skills in science education.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.000 | 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 teacher head, 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".