Bibliographic record
Abstract
Providing educational opportunities within online environments, while beneficial, also has the potential to exclude a significant portion of the population. Those who are learning and physically disabled may be prevented from accessing online learning environments due to problems in the design of the technology, as well as with the pedagogy directing the use of this technology. Inclusion in an Electronic Classroom was funded by the Office of Learning Technologies (OLT) and examined accessibility within various courseware platforms in order to better assess both the technological and pedagogical issues associated with the general educational shift toward providing learning opportunities within online learning networks.2 This paper presents a summary of the results of this study alongside recommendations for ensuring equitable access within online, courseware-enabled, networked learning. The study data are placed within a framework that examines the technical and pedagogical ramifications of accessibility issues and online learning environments, specifically, courseware environments currently used in today’s online educational market. The findings are compared with the associated guidelines and checkpoints in the Web Content Accessibility Guidelines published by the Web Accessibility Initiative (WAI) of the World Wide Web Consortium (W3C) and provide a useful framework for consideration of the current challenges and the opportunities at hand for courseware authoring tool developers.3Request access from your librarian to read this chapter's full text.
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.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".