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Record W7162008026 · doi:10.82308/1895

Fostering accessible learning environments: university faculty attitudes and practices in inclusive instruction, and relationship with faculty development

2017· dissertation· en· W7162008026 on OpenAlexaboutno aff
Boris Vukovic

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsFaculty developmentProfessional developmentHigher educationUniversity facultySchool teachers

Abstract

fetched live from OpenAlex

Cette étude examinait les caractéristiques des attitudes et des pratiques des professeurs dans l'enseignement inclusif, et leurs liens avec le développement du corps professoral de l'Université Carleton à Ottawa, Ontario. Les données d'enquête, d'un échantillon de 314 professeurs enseignants et de moniteurs de cours, ont été analysées avec l'aide de méthodes statistiques déductives avancées. Un échantillon supplémentaire a été établi pour une analyse pré-post de l'efficacité d'un atelier pour promouvoir les attitudes et les connaissances liées aux étudiants handicapés, l'accessibilité dans des environnements d'apprentissage, et la conception universelle dans l'enseignement. Les résultats démontrent que les enseignants ont des attitudes positives dans l'ensemble et signalent des pratiques comparables dans l'enseignement inclusif. Les activités générales et ceux liés au handicap du développement du corps professoral promouvoir ces attitudes et pratiques. L'atelier évalué dans l'étude actuelle était efficace pour augmenter de manière importante l'approbation des attitudes et des connaissances liées à un certain nombre de mesures d'enseignement inclusif.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.119
GPT teacher head0.423
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.

Study designObservational
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
Published2017
Admission routes1
Has abstractyes

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