Learning How to Learn: A Student Success Course for At Risk Students
Bibliographic record
Abstract
It is well known that university students with ineffective learning strategies and low motivation are at risk for lowered grades and stress. Given the needs of these students, Mount St. Vincent University developed the Student Success Course (SSC), a 14-week intervention that offers instruction in learning strategies, self-management, and motivation. The purpose of this study was to evaluate the effectiveness of the SSC for 100 undergraduates on academic probation. From pre- to post-test, participants reported a significant increase in cognitive strategies, study skills, and motivation as well as a significant decrease in test anxiety and procrastination (ps < .05). Over time, participants also demonstrated a significantly improved GPA (p < .0001). These results support the hypothesis that the SSC is an effective intervention, at least in the short-term, for improving learning and motivational strategies in at risk students. Il est reconnu que les étudiants d’université dont les stratégies d’apprentissage sont inefficaces et qui ont une faible motivation risquent de souffrir de stress et d’obtenir de mauvaises notes. Au vu des besoins de ces étudiants, Mount St. Vincent University a mis en place un cours pour faciliter la réussite des étudiants (Student Success Course - SSC). Il s’agit d’une intervention de 14 semaines au cours de laquelle on enseigne des stratégies d’apprentissage, de gestion autonome et de motivation. L’objectif de cette étude est d’évaluer l’efficacité de ce cours dans le cas de 100 étudiants de premier cycle placés en probation. Les participants ont rapporté, avant et après le test, une augmentation significative de leurs stratégies cognitives, de leurs compétences en matière d’apprentissage et de leur motivation, ainsi qu’une baisse importante de leur anxiété face aux examens et de leur procrastination (ps < .05). Avec le temps, les participants ont également démontré une augmentation de leur moyenne pondérée cumulative (p < .0001). Ces résultats soutiennent l’hypothèse selon laquelle le cours en question représente une intervention efficace, tout au moins à court terme, pour améliorer les stratégies d’apprentissage et de motivation chez les étudiants à risque.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".