Information and Communication Technology for French and English Speaking Postsecondary Students with Disabilities: What are Their Needs and How Well are These Being Met?
Bibliographic record
Abstract
This study evaluates how well information and communication technology (ICT) related needs of students with various disabilities are met at school, at home, and in e-learning contexts. Results are based on the POSITIVES Scale, a 26 item ob-jective measure of how well the ICT related needs of these students are met. The sample consists of 131 students from French and 1202 students from English lan-guage universities and junior/community colleges with various disabilities from across Canada. Although the results generally show more favourable than unfa-vourable scores, these are affected by the nature of students’ disabilities and by context: home or school. Generally, both groups had similar views about cir-cumstances where their needs were poorly met and about what worked well. The findings suggest that linguistic and policy considerations have an impact on how well the ICT related needs of students with different disabilities are met in differ-ent parts of Canada.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| 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 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".