The role of collaborative interactivity in the observational practice of clinical skills
Bibliographic record
Abstract
CONTEXT: Video-based observational practice can extend simulation-based learning outside the training space. This study explores the value of collaborative feedback provided during observational practice to the acquisition of clinical skills. METHODS: Nursing students viewed a video demonstrating the proper ventrogluteal injection technique before performing a videotaped pre-test trial on a simulator. They were then assigned randomly to one of three observational practice groups: a group that observed the expert demonstration (EO group); a group that viewed the expert demonstration, self-assessed their individual pre-test and contrasted their self-assessments with expert feedback (ESO group), and a group that observed the expert demonstration, self-assessed and contrasted their assessments with those of an expert, and formed a community that engaged in peer-to-peer feedback (ESPO group). The observation of all videos, the provision of assessments and all networking occurred via an Internet-mediated network. After 2 weeks, participants returned for post-tests and transfer tests. RESULTS: The pre-test-post-test analyses revealed significant interactions (global rating scale: F((2,22)) =4.00 [p =0.033]; checklist: F((2,22)) =4.31 [p =0.026]), which indicated that post-test performance in the ESPO group was significantly better than pre-test performance. The transfer analyses revealed main effects for both the global rating scale (F((2,23)) =6.73; p =0.005) and validated checklist (F((2,23)) =7.04; p =0.004) measures. Participants in the ESPO group performed better on the transfer test than those in the EO group. CONCLUSIONS: The results suggest that video-based observational practice can be effective in extending simulation-based learning, but its effectiveness is mediated by the amount of time the learner spends engaged in the practice and the type of learning activities the learner performs in the observational practice environment. We speculate that increasing collaborative interactivity supports observational learning by increasing the extent to which the educational environment can accommodate learners' specific needs.
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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 | 0.005 | 0.038 |
| 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) | 0.000 | 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".