Towards Disability-Aware Social Media-Enriched Virtual Learning Environments
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
The increasing use of social media brings about the need to consider learners with disability when designing learning environments incorporating social learning. Additionally, there is need for educational institutions to consider social media-enriched learning environments. By default, designers and developers of virtual learning environments tend to design for learners without disabilities. The consequences for learners with disabilities are enormous. This chapter aims to propose a disability-aware approach to designing social learning environments that advocates that stakeholders consider the needs of learners with disabilities throughout development. The challenges that learners with disabilities face when interacting with learning systems are reviewed, and a disability-aware approach to designing social learning environments is presented, examining how this could be practically implemented. The opinions and recommendations of 48 students with disabilities from two universities in the United Kingdom and Canada are presented.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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