The Effects of Formal Mentoring on First-Time Freshman GPA, Course Completion, and Retention Rates
Bibliographic record
Abstract
Problem The purpose of this study is to evaluate the effect of one quarter of a formal mentoring program on the academic success and retention of first-year university students. Method Prior to the beginning of fall quarter 2007, a randomly selected group of 75 first time freshmen students at Walla Walla University (WWU) were invited to participate in an experimental mentoring program. Similarly, a silent control group of 75 first-time freshmen students were randomly selected. Non-student mentors were interviewed and hired to carry out the mentoring project. The retention rate, grade point average (GPA), and credit drop/failure rate of the students in the experimental group were compared to the retention rate, GPA, and credit drop/failure rate of the control group. Results The results indicated that though there was not a significant difference in the overall mean university GPA between the two groups, fewer students in the mentored group ended the quarter with a university GPA below 2.0 than did students in the control group. Additionally, mentored students who entered the university with low high-school performance indicators showed stronger academic success than did control group students. And students in the mentored group dropped and/or failed fewer credits than did those in the control group. There were no differences in retention rate. Conclusions A longitudinal study is needed to give closer study to the extended impact of mentoring on student success and retention.
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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 | 0.000 |
| Open science | 0.000 | 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".