Transition to College for Students with Autism Spectrum Disorder: Needs and Facilitation Strategies. Is Virtual Reality a Useful Tool in the Transition Process?
Bibliographic record
Abstract
The number of Autism Spectrum Disorder (ASD) postsecondary students going to University is increasing. Nonetheless, these students face more difficulties than their neuro-typical peers, due to their communication and behaviour impairments. This fact is widely recognized worldwide, and there is an increasing concern in providing them with adequate support both in their transition and beyond. The purpose of this paper is twofold. Firstly, to provide an overall summary of the general requirements of ASD students in the postsecondary education transition with strategies for facilitation, and, secondly, to analyse the possibilities of Virtual Reality (VR) as a support instrument in the transition process. We rely on a brief review of the literature to summarize the main needs and current strategies. In spite of the increasing concern, there is room for establishing general protocols to help the transition process. The use VR in fulfilling this task appears limited, but it seems to be promising.
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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) | 0.000 | 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 | 0.000 | 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 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".