Building a Relevant Biomedical Graduate Program: From Review to Reform
Bibliographic record
Abstract
BACKGROUND: Program evaluation is critical for ensuring that graduate programs remain responsive, effective, and aligned with the evolving needs of students, faculty, and the broader scientific community. At a major Canadian institution, we aimed to conduct a comprehensive evaluation to assess how well our program meets stakeholder needs and to identify curricular gaps and actionable recommendations across our biomedical and clinical research graduate programs. METHODS: A mixed-methods approach was used, guided by the U.S. Centers for Disease Control and Prevention (CDC) Program Evaluation Framework. Data were collected through surveys, interviews, and a focus group, which included a combination of students, alumni, supervisors, and/or faculty members. The evaluation assessed the curriculum structure, program strengths, and areas for improvements. RESULTS: The findings, when considered together, demonstrated that the student learning experience is shaped by numerous factors beyond course content. Synthesis of the results produced 26 recommendations in three main categories of factors, including course content and experiences, infrastructure and support, and faculty and supervisor engagement. In addition, we identified factors that enabled successful program evaluation, including overt institutional support of the evaluation process including commitment to establishment of a recurring cycle of implementation that aligned with other existing quality assurance processes, and establishment of formal activities to convert findings to actionable initiatives and to monitor progress for each. CONCLUSION: This evaluation demonstrated how the CDC Program Evaluation Framework can be used to enable a systematic, data-driven process that translated stakeholder feedback into actionable recommendations to support meaningful program refinements in response to identified needs regarding program modernization designed to better meet new realities for graduate students. Ongoing evaluation will be essential to monitor the impact of implemented changes and ensure alignment between graduate biomedical education and evolving scientific and workforce needs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.098 | 0.267 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.012 | 0.014 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.006 | 0.009 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".