Accessible Computer Technologies for Students With Disabilities in Canadian Higher Education
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
Two studies explored how well English and French speaking colleges and universities in Canada address availability and access to new computer and information technologies for individuals with disabilities. In Study 1, 156 professionals who provide disability-related supports on campus responded to structured interview questions. In Study 2, 40 professionals who work in Quebec's Francophone junior/community college system (CEGEP) participated. Results showed that most institutions had specialized adaptive computer equipment, though colleges were less likely than universities, and loan programs providing adaptive computer equipment were seen as very effective. Respondents believed they were not very knowledgeable about adaptive computer technologies and those from Francophone institutions scored lower than from Anglophone institutions. The needs of students were seen as moderately well met, with Francophone respondents more favorable than Anglophone. Respondents from Anglophone universities expressed different needs than those from Anglophone colleges or Francophone institutions. Disability service providers wished students were better equipped and prepared for the postsecondary experience, computer based teaching materials used by professors were more accessible, and more extensive support services for adaptive hardware and software available. We provide recommendations based on universal design principles that are targeted at those involved in technology integration in postsecondary education.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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