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Record W1501374915 · doi:10.21432/t21s3c

Repenser la définition des aides techniques en éducation / Rethinking the definition of assistive technology in education

2012· article· fr· W1501374915 on OpenAlexaffvenue
Hajer Chalghoumi

Bibliographic record

VenueCanadian Journal of Learning and Technology · 2012
Typearticle
Languagefr
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsConfusionInformation and Communications TechnologyHumanitiesSociologyPsychologyPedagogyComputer sciencePhilosophyWorld Wide Web

Abstract

fetched live from OpenAlex

En éducation, un nombre croissant d’élèves avec incapacités ont recours aux aides techniques. Parallèlement, une littérature récente mais de plus en plus abondante étudie ce concept. En dépit de cet intérêt grandissant tant au niveau de la recherche que de la pratique liée à ces technologies, plusieurs indices soulignent la difficulté de distinguer entre ce concept et celui de technologies de l’information et de la communication (TIC) notamment en éducation. Les aides techniques sont-elles un concept distinct ou une variante des TIC? Quelles sont les conséquences d’une telle confusion conceptuelle ? Comment peut-on différencier ces deux concepts ? L’objectif du présent article est d’apporter des éléments de réponse à ces questions. In education, an increasing number of students with disabilities make use of assistive technologies (AT). Meanwhile, a recent but growing literature studies this concept. Despite this interest both in research and practice related to these technologies, several clues point to the difficulty of distinguishing it from and the information and communication technology (ICT), particularly in education. Are AT a distinct concept or a variation of ICT? What are the consequences of such a confusion? How can we differentiate these two concepts? The purpose of this article is to provide some answers to these questions.

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)0.005
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.361
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.004
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 head0.059
GPT teacher head0.385
Teacher spread0.326 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2012
Admission routes2
Has abstractyes

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Same venueCanadian Journal of Learning and TechnologySame topicAssistive Technology in Communication and MobilityFrench-language works237,207