Awareness, Use, and Value of Student Support Programs Through the Lens of Science Students, Professors, and Staff
Bibliographic record
Abstract
Science students face specific challenges associated with their field of study. The purpose of this study was to assess science students’ use of support services and programs, identify barriers to use and group differences, determine professors’ and staff’s familiarity with programs and solicit ideas from all participants about what programming changes should be made. Survey questions were completed by 308 students and 40 staff and professors in our institution’s Faculty of Science. Students’ participation rates and professors’ and staff’s familiarity with programs ranged significantly but most services were rated as helpful by both groups. Few demographic group differences emerged in program use. Participants recommended a number of improvements to the Faculty of Science including strengthening mental health awareness and support services, fostering student engagement in science, building students’ relationships with professors and cultivating a healthy learning environment. Implications for program development in science faculties are considered.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".