Understanding and Supporting the Needs of Post-Secondary Students with Autism Spectrum Disorder (ASD): A Qualitative Study of the Student Perspective
Bibliographic record
Abstract
Individuals with autism spectrum disorder (ASD) are a growing subgroup within post-secondary populations. However, little is known about post-secondary students with ASD, and even less regarding the barriers to their success. Available information suggests students with ASD struggle more and are less successful than neurotypical students, but this information has often relied on expert opinions and has failed to incorporate the first-hand perspective of students with autism. To address the gap in direct research of student experiences, a qualitative inquiry was conducted into the barriers to success for post-secondary students with ASD. Student participants from post-secondary institutions in Calgary, Alberta were interviewed and their responses analyzed using Thematic Analysis. Results identify multiple barriers to success for this population. Ten themes were identified in three categories: intrapersonal barriers, interpersonal barriers, and system concerns; while two separate cross-cutting themes (compounded concerns and achieving competency in independence) also emerged.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".