Meeting the E-Learning and Information and Computer Technology Needs of Post-secondary Students with Visual Impairments: An Overview of Two Studies
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
Abstract: We present the findings from two Canada-wide studies involving post-secondary students who self-identified as either being totally blind (n = 29) or having low vision (n = 143). The first study examined the information and communication technologies (ICTs) used by students and how adequately these met their on and off campus needs, and the second study explored the accessibility of e-learning at the post-secondary level, including which e-learning tools participants find most and least accessible. The findings indicate that several e-learning tools, such as PDF documents and web-based content, pose a number of accessibility problems. Moreover, the results suggest that participants encounter problems when using ICTs at home and at school, such as ICTs not being adequately up-to-date. We present these findings and provide recommendations to address these concerns, such as the need to ensure that universal design and web-accessibility guidelines are considered when e-learning tools are implemented.
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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 | 0.001 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 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 it