Feeling the flow with a serious game workshop: GridlockED as Medical Education 2 study (GAME2 study)
Bibliographic record
Abstract
OBJECTIVE: GridlockED gameplay workshops were delivered in Canada. This project investigated workshop attendees' experiences, seeking to identify learning points to inform improvement of the workshop. METHODS: GridlockED sessions were held through 2018 and 2019. Workshops targeted medical trainees. After a standardized video, learners played for approximately 90 minutes. Learners completed a postgameplay survey with 7-point Likert scale questions about their experience. RESULTS: Seventy-two participants responded to our survey (41 medical students, 13 physician assistant students, 12 emergency medicine residents, and six faculty members). Trainees rated GridlockED as both enjoyable and a meaningful educational experience, with a mean (±SD) rating of 6.53 (±0.96) of 7 for enjoyment and 6.17 (±1.13) for education. Attendees identified teamwork and communication (49%) as the most helpful learning domain, with patient flow (43%) being second and basics of how the ED worked (31%) being third. The respondents self-identified top areas of learning as resource management (38.9%), improved understanding of various provider roles in the ED (33%), and improved communication skills (33%). CONCLUSION: Medical learners identified GridlockED to be an educational and enjoyable learning experience. Attendees reported that playing this serious game assisted with learning about health systems and communication.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".