Wheelchair Training as a Way to Enhance Experiential Learning Modules for Urban Planning Students: A Mixed-Method Evaluation Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study assessed the effectiveness of a learning module we developed for planning students aimed to enhance their understanding for design issues in public spaces faced by wheelchair users. The module involves training of students to effectively navigate the environment in a wheelchair before they experience the real outdoor spaces. Through this evaluation study, we also attempted to add clarity to the problems observed from empirical studies about these ‘try-it-yourself’ exercises, such as potential stigmatisation and ableism. We employed a mixed-method study approach consisting of wheelchair skill tests, ‘walkabout’ audits, and a focus group, with 28 second-year undergraduate urban planning students. The cross-over design of the study involving two components of the module – (wheelchair) Skill Learning Experience (SLE) and Real-World Experience (RWE) – allowed us to assess the effect of the former on the performance of the latter and the module overall. The focus group also asked students’ perspectives about the module. Our findings suggest that the wheelchair skills training component likely contributed to a more nuanced and comprehensive understanding of design problems, while also fostering respect for wheelchair users. We believe that careful implementation is key to addressing potential negative consequences while optimising the benefit of experiential exercises.
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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 | 0.004 | 0.003 |
| 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 | 0.000 |
| 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