A preliminary comparison of bellringer performance across three visual modalities for the assessment of anatomy knowledge
Bibliographic record
Abstract
Anatomy education is an inherently visual field, particularly in bellringer (BR) testing, which requires learners to identify anatomical structures on human-donated specimens. While the traditional use of these physical specimens in BR testing has long remained the standard, three-dimensional (3D) viewing in virtual reality platforms and two-dimensional (2D) images of specimens on paper have become common alternatives due to the ease and feasibility of use. Despite widespread use, there is a paucity of literature comparing the assessment validity of these modalities to physical specimens as the historic standard. Thus, this study sought to assess BR testing performance and question validity (using point biserial evaluation) across all three modalities. In total, 140 undergraduate students, enrolled in an Introductory Anatomy and Physiology course at the time of testing, participated in a BR examination with specimens presented in three visual formats: physical specimens, printed 2D images, and 3D reconstructions in virtual reality. When comparing all three modalities, no notable differences were found between question difficulty, point biserial values, presentation of cybersickness, visuospatial ability, or modality preference. Additionally, modality preference and student opinion did not significantly affect test scores, suggesting that these student attributes were unrelated to BR performance. The examinations had high reliability as measured by KR-20 values, supporting the applicability of our results to undergraduate anatomy BR testing. This study provides preliminary evidence supporting the utility and validity of both 2D images and 3D virtual reality as alternative modalities for BR testing within the undergraduate anatomy education setting.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".