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Record W2594291892 · doi:10.1177/002205741519500303

International Perspectives on Literacy Learning with iPads

2015· article· en· W2594291892 on OpenAlex
Tiffany L. Gallagher, Douglas Fsher, Diane Lapp, Jennifer Rowsell, Alyson Simpson, Ruth McQuirter, Maureen Walsh, Katia Ciampa, Mary Gene Saudelli

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Education · 2015
Typearticle
Languageen
FieldComputer Science
TopicMobile Learning in Education
Canadian institutionsBrock University
Fundersnot available
KeywordsContext (archaeology)Variety (cybernetics)LiteracyMeaning (existential)Mathematics educationEducational technologyObservational studyPedagogyQualitative researchPsychologyComputer scienceSociologyGeographySocial scienceMathematicsArtificial intelligence

Abstract

fetched live from OpenAlex

This article profiles the use of the iPad (a tablet) in classroom literacy activities in three different instructional environments in different parts of the world: Toronto, Canada; San Diego, United States; and Sydney, Australia. This two-year, qualitative study included observational fieldwork filming students' interactions with tablets in the midst of literacy events. Students in each context used the iPads to make meaning, with the participating classroom teachers affording their students some degree of self-determination with respect to technology use. We describe these three instructional environments and illustrate how these diverse landscapes reflected a variety of ecologies or models that contributed inherently to the nature of learning on the iPads. We describe our findings that show how context and environment allow for different kinds of learning and that may elucidate the array of learning potential afforded with this device.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.752
Threshold uncertainty score0.222

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 head0.015
GPT teacher head0.321
Teacher spread0.307 · 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