Nursing students’ engagement and experiences with virtual reality in an undergraduate bioscience course
Bibliographic record
Abstract
Objectives The challenges of bioscience courses such as anatomy and physiology in nursing education are well documented. Virtual reality has recently become accessible and may support student engagement. The purpose of this project was to describe students' engagement and experiences with virtual reality in a first-year nursing course on anatomy, physiology, and health assessment. Methods We used a cross-sectional design and collected both quantitative and qualitative data. The Exploratory Learning Model guided our work. Results Students perceived their engagement to be higher in virtual reality compared to other teaching methods. Their experiences were positive with students reporting that they found it easy to use, it helped their learning, and they recommended more of it. Conclusions Virtual reality is an accessible tool for supporting student engagement. The Exploratory Learning Model is a useful conceptualization for integrating virtual reality into a course. Future research on the relationship between virtual reality and learning achievements is warranted.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".