Engaging persons with disabilities as community teachers for experiential learning in occupational therapy education
Bibliographic record
Abstract
Background Cultivating empathy towards persons with disabilities has been highlighted as an essential graduate attribute in the occupational therapy profession. Purpose With the aim to developing a more holistic understanding of disability, this project seeks to translate an experiential learning activity developed in Canada to the local Singaporean context. Small groups of two to three students were paired with a person with physical disability, known as a community teacher, for a series of visits to observe and participate in their self-care, productivity and leisure activities. Method A sequential explanatory mixed methods design was adopted with the administration of an adapted version of the Multidimensional Attitudes Scale Towards Persons with Disabilities on 51 first year occupational therapy students. Seventeen students participated in three focus group discussions at the end of the learning activity. Findings: Comparison of pre- and post-scores using Wilcoxon signed-rank tests of all three subscales of the Multidimensional Attitudes Scale Towards Persons with Disabilities yielded significant improvements. The average score for Affect improved from 42.94 to 32.08, z = −5.43, P < .001; for Cognition improved from 26.12 to 21.41, z = −4.20, P < .001; for Behaviour improved from 23.78 to 20.65, z= −4.44, P < .001. Effect sizes ranged from medium to large. Thematic analysis of focus groups led to the identification of four themes that explained these improvements. Implications: Experiential learning can be effective in cultivating empathy and improving attitudes of occupational therapy students towards persons with disabilities. There is potential to expand this pedagogical approach to other health sciences disciplines.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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) | 0.001 | 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".