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Record W4363675042 · doi:10.1089/aut.2022.0079

Improving Autistic Students' Experiences in Higher Education: Developing a Community Framework for Individual Autistic Student and Autistic Community Flourishing

2023· article· en· W4363675042 on OpenAlexaff
Margaret Janse van Rensburg, Bridget Liang

Bibliographic record

VenueAutism in Adulthood · 2023
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsYork UniversityCarleton University
Fundersnot available
KeywordsFlourishingPsychologyAutismHigher educationPedagogyPublic relationsMedical educationDevelopmental psychologySocial psychologyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

Abstract: As the fastest growing cohort of disabled student populations, autistic students are often let down by inherently ableist institutions of higher education (HE). Traditionally, institutions of HE have sought to support autistic students through an individualized approach, placing the responsibility on the autistic student to seek out and advocate for academic and nonacademic support. However, there remain opportunities for the broader community to foster autistic individual and community well-being. This conceptual analysis evaluates the current environment and approaches in HE for supporting autistic academic success and well-being and describes a community framework based on a collective combined effort that invites individual autistic students and autistic community flourishing. It contributes an alternative approach to supporting autistic students, making autistic individual and community well-being the responsibility of peers, support staff, instructors and faculty, and the institution, identifying a need to restructure institutions into ones that work to promote autistic culture and provide autonomous supports and accommodations. Abstract: Right now, there are a lot of different ways in which institutions of Higher Education (HE; i.e., colleges and universities) do and do not support autistic students. Abstract: There are opportunities for peers, instructors and faculty, support staff, and institutions to get involved in supporting autistic students. Abstract: However, institutions of HE do not have a clear framework to make the wellbeing of autistic students a community responsibility. Abstract: The purpose of this article is to evaluate the current ways in which institutions of HE support the academic success and wellbeing of autistic students and to describe a framework for a collective effort to promote individual autistic student and community flourishing. Abstract: Our evaluation demonstrates that non-acceptance of autism, stigma, and oppression may impact an autistic students' experiences, making the transition to HE, academic success, and wellbeing more difficult. Abstract: Traditional approaches to supporting autistic students, including formal academic supports, informal academic supports, and non-academic supports, may not be accessible to all autistic students. Abstract: Our framework uses a critical understanding of learning and autism, valuing autistic experience. Abstract: The goal is to support autistic academic success and wellbeing and to reduce the need for autistic students to mask, change, or seek out support to 'fit in' to HE. Abstract: The framework centers individual autistic students and the autistic community, placing the responsibility of academic success and student wellbeing on the larger HE collective. Abstract: Peers, instructors and faculty, support staff, and institutions are shown as having influence on the academic success and wellbeing of autistic students. Abstract: These key players can promote autistic culture by being open to autistic students' decisions around disclosure; applying a Universal Design for Learning (UDL); recognizing neurodiversity as an important diversity, equity, and inclusion initiative; offering and engaging in neurodiversity trainings; developing and enhancing disability cultural centers; and featuring autistic culture in the academe; autistic culture can be promoted. Abstract: Furthermore, they can support autistic student agency by honouring autistic students' autonomy, building comprehensive and connected services; normalizing academic accommodations; and offering non-academic supports. Abstract: The authors hope that this article helps to create a system-wide change through a collective, combined effort to promote individual autistic student and autistic community flourishing in HE.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0050.002
Science and technology studies0.0120.011
Scholarly communication0.0080.005
Open science0.0020.016
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.097
GPT teacher head0.393
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations14
Published2023
Admission routes1
Has abstractyes

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