Enhancing research and scholarly experiences based on students’ awareness and perception of the research-teaching nexus: A student-centred approach
Bibliographic record
Abstract
OBJECTIVES: Research is a core competency of a modern-day doctor and evidence-based practice underpins a career in medicine. Early exposure encourages graduates to embed research in their medical career and improves graduate attributes and student experience. However, there is wide variability of research and scholarly experiences offered in medicals schools, many developed with a significant degree of pragmatism based on resources and financial and time constraints. We examined undergraduate medical students' awareness and experience of research throughout their degree to provide recommendations for implementation and improvement of research and scholarly experiences. METHOD: Focus groups were conducted with medical students at all five stages of the medical degree programme. Data was coded to facilitate qualitative analysis for identification of important themes from each stage. RESULTS: Students reported positive impacts of research on undergraduate experience, future career and society in general. Two important themes emerged from the data, the opportunity for research and timing of research experiences. Early-stage students were concerned by their lack of experience and opportunity, whereas later-stage students identified the importance of research to employability, personal development and good medical practice, but ironically suggested it should be integrated in early stages of the course due to limitations of time. CONCLUSIONS: Students provided feedback for improving research and scholarly experiences, ideally involving early exposure, a clear programme overview, with equality of access and a longitudinal approach. An emerging framework is proposed summarising the important issues identified by students and the positive impacts research experiences provide for them. These recommendations can be applied to both existing and new research programmes to provide a student-centred approach designed to augment the students' critical analysis, inspire life-long learning, enhance the student experience and inevitably train better physicians.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.052 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".