Creation and Online Use of Patient-Centered Videos, Digital Storytelling, and Interactive Self-testing Questions for Teaching Pathophysiology
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Nursing students need to not only understand the pathophysiological basis of disease but also acquire insight into its effects on patients and their families. PURPOSE: Digital storytelling was used to engage students in self-directed, online learning, allowing them to identify with patients dealing with disease and its consequences. METHODS: Scripts were written and videos created that simulated patient experiences with select diseases of the gastrointestinal and respiratory systems as well as diabetes. Videos plus online self-testing questions were provided to nursing students studying pathophysiology and student outcomes on summative examinations compared before and after introduction of the videos. RESULTS: Students had improved outcomes on summative examination questions that targeted diseases addressed in the video modules. CONCLUSIONS: Digital storytelling is an effective way to portray illness from a patient perspective, and the addition of this approach to pathophysiology instruction can benefit student learning.
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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 | 0.000 | 0.001 |
| 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 it