Factors Affecting the General Academic Achievement of University Students: Gender, Study Hours, Academic Motivation, Metacognition and Self-Regulated Learning
Bibliographic record
Abstract
This study aimed to determine the effects of university students' gender, weekly study hours, academic motivation, metacognition, and self-regulated learning levels on their overall academic achievement and to examine whether academic motivation, metacognition and self-regulated learning total scores predicted their GPAs. This study utilized a survey and prediction research design to analyze the research questions posed. The participants of the study consisted of 86 undergraduate students attending various programs of a university in Western Canada. The research data were collected using the “Metacognitive Awareness Inventory (MAI)” developed by Schraw and Dennison (1994), the “Self-regulated learning perception scale (SASR)” developed by Dugan and Andrade (2011), the "Academic Motivation Scale (AMS-C 28) College Version" developed by Vallerand, Pelletier, Blais, Brière, Senécal and Vallières (1992), and the “demographic form”. We found a significant relationship between the university students' self-regulated learning, metacognition and academic motivation scores, and their grade point averages (GPAs). We also determined that the total scores related to the university students’ self-regulated learning, metacognition and academic motivation significantly predicted their GPAs, and that the gender and weekly study hours of the university students did not have a significant effect on their self-regulated learning, metacognition, academic motivation and academic GPA.
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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 | 0.003 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".