Universal Design for Learning and Instruction: Perspectives of Students with Disabilities in Higher Education
Bibliographic record
Abstract
Universal design in the setting of education is a framework of instruction that aims to be inclusive of different learning preferences and learners, and helps to reduce barriers for students with disabilities. The principles of Universal Design for Learning (UDL) and Universal Design for Instruction (UDI) were used as the framework for this study. The purposes of this study were to evaluate the perspectives of university students with disabilities on teaching methods and strategies conducive to their learning, and evaluate how their perspectives align with UDL/UDI. The findings of this study revealed that there are barriers to learning for students with disabilities. Students with and without disabilities reported having a variety of learning preferences, and rated UDL/UDI principles as useful in improving their learning. The students gave several perspectives that supported the principles of universal design in higher education to enhance the learning of students who have disabilities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.017 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".