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Record W2767315751 · doi:10.5206/eei.v27i2.7751

The Impact of a School Board’s One-to-One iPad Initiative on Equity and Inclusion

2017· article· en· W2767315751 on OpenAlexaffvenue
Lori Kirkpatrick, Heather M. Brown, Michelle Searle, Adrienne E. Sauder, Eric Smiley

Bibliographic record

VenueExceptionality Education International · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsThe King's UniversityWestern University
Fundersnot available
KeywordsInclusion (mineral)Equity (law)PsychologyCurriculumPedagogyFocus groupMathematics educationSocial psychologySociologyPolitical science

Abstract

fetched live from OpenAlex

This paper examines the impact of a school board’s one-to-one iPad initiative on equity and inclusion. Data include: questionnaires from Grade 7–9 students, teachers, and administrators; focus groups with inclusion coaches; and interviews with classroom teachers. The results show that the iPads have supported equity among students in the district; there is now less disparity in terms of access to technology on the basis of families’ socio-economic status. The results show that the iPads have also supported the academic and social inclusion of students with exceptionalities; themes that arose across the data sources include: differentiation of content, access to grade-level curriculum, the appearance of sameness, communication and collaboration among students with and without exceptionalities, and positive student affect. Negative implications included the potential for students who struggle with self-regulation to be negatively affected and the potential for the technology to be used in socially exclusionary ways.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.462
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.002
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 head0.106
GPT teacher head0.464
Teacher spread0.357 · 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 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

Citations6
Published2017
Admission routes2
Has abstractyes

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