The Impact of Co-Curricular Activity Assessment on Male University Students’ Course Performance: A Case Study of The Natural Sciences Course
Bibliographic record
Abstract
Our objective was to examine if a co-curricular activity incorporated with assessment methods affected students’ competence in a course. Natural Sciences (201) was chosen as a candidate course for this study. Students’ grade breakdown was examined and analyzed using SPSS and MINITAB software over four academic years from Fall 2012-13 to Fall 2015-16. The number of failed male students was significantly lower (p<0.05) in Fall semesters when compared with the number of failed male students in Spring semesters. A further analysis was attempted as an approach to understand the reasons for the remarkable elevation of success in the Fall semesters. Hence, a questionnaire was given to 121 students and the data showed that the ‘Science Communicators Program’, metaphorically the Science Festival, played a key role in the students’ achievements. The excellence of performance in the Natural Sciences course was detected during the Fall semesters. Thus, this research paper recommends the accommodation of off-campus co-curricular activities in other courses taught at the university.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".