Twenty Years Into the 21st Century – Tech-related Accommodations for College Students with Mental Health and Other Disabilities
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
Virtually all North American two- and four-year colleges provide accommodations to their increasing numbers of students with disabilities. To explore technology and non-technology related accommodations for these students we surveyed 118 Canadian two- and four-year college students who self-reported at least one disability, including a mental health related disability, and indicated that they had registered for access services from their college. Seventy-four students without disabilities were included in some analyses. Our findings reveal emerging issues such as non-binary gender and multiple comorbidities, in addition to more targeted recommendations concerning technology use. For example, over half of our sample self-reported multiple disabilities; there is a large number of students with mental health related disabilities (e.g., anxiety disorders, mood disorders), many of whom have comorbid disabilities; binary (male, female) gender designations are outdated; and exam and classroom accommodations without technologies are still the most popular. Grades of students with and without disabilities did not differ. Similarly, the number of different types of accommodations in two- and four-year colleges did not differ. Students generally had high technology related self-efficacy and they saw the substantial benefit of technologies, especially of writing tools. Students with mental health related disability used somewhat fewer technologies for reading, writing and time management. Self-efficacy and perceived benefit were highest for writing technologies. General use technologies such as Microsoft Office and Google Docs that were reported by most students in this study are increasingly used as adaptive aids. In future, use of technology related accommodations is likely to include showing students how to use general use software.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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