Investigating Learners' Attitudes Toward Virtual Reality Learning Environments in Embryology Education
Bibliographic record
Abstract
Embryology is taught to undergraduates in a variety of health sciences, largely depending on traditional teaching methods. The human embryo's development is complex and dynamic, and to digest all the related facts, students are always searching for educational tools to enhance their learning experience. Virtual Reality (VR) is a promising technology that aids in the realization of 3 Dimensional (3D) relations of structures by visualization rather than memorization. This paper utilizes a mixed method research consisting of focus group interviews, followed by a questionnaire to evaluate the current teaching methodology, identify shortfalls of traditional learning tools, and determine how VR may enhance the learning process, and the students' acceptance of introduction of this technology into their curriculum. It demonstrates that a VR embryology system would provide a valuable addition to existing educational tools, which is appealing to users, and has the potential to overcome some of the current methods' shortfalls.
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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 | 0.001 |
| 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".