Same Course, Two Methods Of Learning : Assessment Of The Students Success
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper discusses the implementation of a self-directed learning strategy for instruction in an introductory materials science course. Student's performance metrics are directly compared to those from a more traditional lecture-oriented course. The raw data reveal that the students who have chosen the self-directed learning version of the course obtain a final mark higher than that obtained by the students who were taught in a conventional manner . Multivariable analysis taking into account the GPA of the students, their level at their entry in the engineering program, the mark obtained in the common final exam and that obtained in quizzes were performed in order to point out the most influencing factor(s). It appears that the difference in student's success is mostly due to a better performance of the self-directed learning students in the continuous evaluation by computerised quizzes, the other variables having a negligible effect. We conclude that the main cause of the higher success of the self-directed learning students in the course should probably be the consequence of their attitude toward their responsibility in the learning process.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 it