STUDENT ENGAGEMENT AND RETENTION IN ONTARIO’S UNIVERSITY SYSTEM
Bibliographic record
Abstract
Student retention is a major issue impacting universities as consistent leavings prior to graduation bring about numerous costs for institutions, students and communities at large. This thesis examined student services and out-of-class activities affecting student satisfaction, year one to year two retention and overall graduation rates across six public Ontario universities. Approaching retention under the framework of student engagement, this study utilized recent National Survey of Student Engagement results to quantitatively analyze first-year student participation in and perceptions of their institution’s services which contribute to success. What emerged were statistically significant relationships pertaining to year one to year two retention and strong institutional support in all areas of student life, in addition to on-campus involvement and strong peer groups. Overall, results coincided with major research from the United States and produced generalizable findings within the Ontario context, thus providing stratégie focus areas for campus policies and practices concerning first-year student support.
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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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".