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Record W4384568707 · doi:10.15173/cjae.v3i1.5316

Teaching Strategies for Autistic Students

2023· article· en· W4384568707 on OpenAlexaff
Rebekah Kintzinger

Bibliographic record

VenueCanadian Journal of Autism Equity · 2023
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsAutism Canada
Fundersnot available
KeywordsPsychologyAgency (philosophy)AutismPedagogyMathematics educationDevelopmental psychologySociology

Abstract

fetched live from OpenAlex

This article explores teaching and the educational environment with the Autistic student in mind. It begins by approaching the medical and social models of disability and discussing the implications of their use in an educational setting, focusing on why a social model of disability best supports the learning of Autistic and neurodivergent students in order to be as inclusive as possible in the education setting. The article then goes into detail on the strategies found within the support tiers of Communication, Visual Aide, and Environment in a classroom setting to bolster the success of Autistic and neurodivergent students. This includes a comprehensive breakdown of best ways to support students in these areas, and why this is important. Focussing on the idea that all behavior is communication, the article discusses the importance of inclusivity in the classroom, and preserving the agency of Autistic students. This article aims to give educators the tools they need to support students who are Autistic and neurodivergent, so that they are experiencing less stress and an improved school experience across their learning journey.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.625

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.096
GPT teacher head0.401
Teacher spread0.305 · 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 teacher head, 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

Citations0
Published2023
Admission routes1
Has abstractyes

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