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Record W2128471136 · doi:10.5539/jel.v2n1p176

Information and Communication Technology Profiles of College Students with Learning Disabilities and Adequate and Very Poor Readers

2013· article· en· W2128471136 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Education and Learning · 2013
Typearticle
Languageen
FieldComputer Science
TopicText Readability and Simplification
Canadian institutionsCegep de Sainte FoyCégep du Vieux MontréalDawson CollegeCégep André LaurendeauCollège MontmorencyQuebec Rehabilitation Research NetworkMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsReading comprehensionPsychologyICTSReading (process)ComprehensionTest (biology)Learning disabilityInformation and Communications TechnologyMathematics educationPedagogyMedical educationDevelopmental psychologyComputer scienceLinguisticsMedicine

Abstract

fetched live from OpenAlex

We interviewed 58 experts (30 in French, 28 in English) about potentially useful information and communicationtechnologies (ICTs) for Québec college students with a learning disability (LD) and evaluated whether collegestudents with an LD (n = 74), in fact, used these. We also compared ICT use, learning opportunities, andattitudes among three groups of students from Montreal area French and English language colleges: (1) studentswith an LD, and (2) students who, based on a reading comprehension test, were categorized as adequate readers(approximately top 50%) or (3) very poor readers (approximately bottom 20%). Results indicate importantdiscrepancies between the views of the experts and the realities of students with LDs. Moreover, students with anLD use significantly fewer different types of ICTs than those without an LD.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.196

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 studies0.0000.000
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 head0.010
GPT teacher head0.259
Teacher spread0.249 · 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