Teaching Bioethics: evaluation of a virtual learning object
Bibliographic record
Abstract
Abstract The use of information and communication technologies brought together the teaching of bioethics and professional practice. The objective of the study is to evaluate the Virtual Learning Object ─ Analysis of Ethical Situations, developed and used as an innovative approach to the teaching of bioethics in courses in the field of health. The methodology integrates quantitative and qualitative analysis. Participants are students who used the virtual object in the disciplines of Ethics and Bioethics of Dentistry and Speech Therapy courses. A questionnaire (open and closed questions) was applied, and the categories analyzed related to the use of the virtual object and learning of bioethics: interaction, curriculum content, and teaching and learning dynamics. Testimonials show that the educational material provided analysis of situations with potential bioethical conflicts and demonstrated the possibility of practicing interdisciplinarity, considering this experience important in the training of health professionals. The study points to bioethics as a cross-curricular field of health practices.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".