The REDIH experience: an emerging design to develop an effective training program for graduate students in reproductive science
Bibliographic record
Abstract
BACKGROUND: A training program in Reproduction, Early Development, and the Impact on Health (REDIH) was initiated in 2009 by researchers specializing in biomedical, clinical, population health, and ethics research from seven collaborating universities in Quebec and Ontario, and Health Canada. This paper reports the findings from the first three years of the 6-year program. OBJECTIVES: The objective of the REDIH program is to provide increased opportunities for excellent training in reproduction and early development for graduate students and fellows, in order to build research, clinical, regulatory, decision-making, and industry capacity in Canada. METHODS: A mixed methods approach was used to evaluate the REDIH training program, so as to combine the strengths of both qualitative and quantitative studies. A total of four focus groups (two with mentors and two with trainees) were run during the June 2012 REDIH meeting. Surveys were administered directly after each training module. The W(e)Learn framework was used as a guide to design and evaluate the program and answer the research questions. RESULTS: The data from the analysis of the focus group interviews, in corroboration with the survey data, suggested trainees enjoyed and benefited from the REDIH experience. Trainees provided several examples of new knowledge and skills they had acquired from REDIH sessions, regarding reproductive and early developmental biology, and health. A few trainees who had been in the program for over a year provided examples of knowledge and skills acquired during the REDIH session that they were using in their place of work. Next steps will include following up on REDIH graduates to see if the program has had any impact on trainees' employment opportunities and career development. CONCLUSION: Trainees and mentors concluded that the curricular design, which focuses on modules in 2-day learning sessions over a 6-year period, with opportunities for application in the workplace, enabled the sessions to be tailored to the outcomes of the formative evaluation. By sharing our experiences with REDIH, we hope that others can benefit from this unique emerging design, which focuses on the flexibility and receptivity of the mentors, and results in a program that lends itself to curriculum modification and tailoring as learners' needs are solicited and addressed.
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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 | 0.022 | 0.171 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.006 |
| Open science | 0.001 | 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".