Enculturating a Community of Action: Health Professions Educators’ Perspectives on Teaching With Wikipedia
Bibliographic record
Abstract
PURPOSE: Health professions educators are increasingly called on to engage learners in more meaningful instruction. Many have used Wikipedia to offer an applied approach to engage learners, particularly learning related to evidence-based medicine (EBM). However, little is known about the benefits and challenges of using Wikipedia as a pedagogic tool from the collective experience of educators who have sought to improve their instructional practice with it. This study aims to synthesize the perspectives of health professions education (HPE) instructors on the incorporation of Wikipedia editing into their HPE courses. METHOD: Applying a constructivist approach, the authors conducted semistructured interviews from July to December 2020, with 17 participating HPE instructors who had substantively integrated Wikipedia into their curriculum at 13 institutions. Participants were interviewed about their experiences of integrating Wikipedia editing into their courses. Thematic analysis was conducted on resulting transcripts. RESULTS: The authors observed 2 broad themes among participants' expressed benefits of teaching with Wikipedia. First, Wikipedia provides a meaningful instructional alternative that also helps society and develops learners' information literacy and EBM skills. Second, Wikipedia supports learners' careers and professional identity formation. Identified challenges included high effort and time, restrictive Wikipedia sourcing guidelines, and difficult interactions with stakeholders. CONCLUSIONS: Findings build on known benefits, such as providing a real-world collaborative project that contextualizes students' learning experiences. They also echo known challenges, such as the resource-intensive nature of teaching with Wikipedia. The findings of this study reveal the potential of Wikipedia to enculturate HPE students within a situated learning context. They also present implications for HPE programs that are considering implementing Wikipedia and faculty development needed to help instructors harness crowd-sourced information tools' pedagogic opportunities as well as anticipate their challenges.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| 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".