Bibliographic record
Abstract
This chapter presents the development, implementation and evaluation of a module on interprofessional communication skills that incorporates principles of problem-based learning, delivered entirely online. Learners focus initially on foundational concepts of relationship and patient centered care, the importance of self awareness and understanding their own professional values and biases, progressing towards teamworking to develop common patient care goals. The module faculty facilitator is essential to role model and foster interprofessional collaboration. Qualitative content analyses of discussion board postings across 29 students, supplemented by small-scale in-depth interviews and a focus group, reveal they are able to learn interprofessional communication skills online. The 10 students who undertook both module components completed a project evaluation form: there was 85.6% agreement that the module taught them about interprofessional education and 92.9% agreement that their knowledge of other health professionals’ perspectives increased. An online module can support the development of communication skills, but is recommended as one component of an overall interprofessional education curriculum.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.004 | 0.001 |
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; both teacher heads agree on what is shown here.
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".