Exploring Associations Between Substance Use, Self-Regulated Learning Practices, and Academic Challenges at Five Canadian Universities
Bibliographic record
Abstract
Self-regulated learning (SRL) practices and academic challenges are crucial factors in student success and academic performance. Frequent cannabis and alcohol use can negatively affect emerging adults’ cognitive abilities which in turn diminishes their academic performance. Research has not yet fully explored how substance use effects university student engagement with SRL practices (e.g., task understanding) and academic challenges (e.g., motivational challenges). Participants ( N = 1,247) were first- and second-year undergraduate students at five Canadian Universities ( M age = 19.1 years). Cannabis use negatively associated with reports of task understanding and metacognitive monitoring and positively associated with five academic challenges: goal and time management, cognitive, social-emotional, metacognitive, and motivational challenges. Alcohol use negatively associated with reports of goal and time management, and task understanding, and positively associated with academic social engagement practices, social-emotional and initiating-sustaining engagement challenges. Findings enhance understanding about how specific substances affect emerging adults on academic success precursors early in their transition to 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 | 0.013 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".