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Record W2799965083 · doi:10.1111/bjet.12621

Writing and iPads in the early years: Perspectives from within the classroom

2018· article· en· W2799965083 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.

Bibliographic record

VenueBritish Journal of Educational Technology · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsSpellingCreativityCurriculumPsychologyPedagogyMathematics educationTeaching methodLinguisticsSocial psychology

Abstract

fetched live from OpenAlex

Abstract Writing is a complex and effortful activity and recent surveys indicate that fewer children are enjoying writing or engaging in writing outside of school. Yet compositional writing is a part of the primary curriculum and is an essential part of education. This small‐scale international study aimed to garner the views of primary school teachers and children on using iPads in teaching compositional writing and how this writing differed from using paper and pencils. Three teachers and classes of primary school children in Northern Ireland and in the Republic of Ireland participated in the study. Individual interviews with the teachers, focus groups with the children and child‐led virtual tours of the iPad were all used to gather perspectives. All participants reported on the benefits of using iPads to teach compositional writing. These included fun and enjoyment, greater choice and creativity, the value of multimodal communication and assistance with spelling. However, all participants also advocated a balanced approach to the teaching of compositional writing.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.486

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.292
Teacher spread0.279 · 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