MétaCan
Menu
Back to cohort
Record W2270534069 · doi:10.1123/jtpe.2014-0013

Integration of Information and Communication Technology and Pupils’ Motivation in a Physical Education Setting

2015· article· en· W2270534069 on OpenAlex
Pascal Legrain, Nicolas Gillet, Christophe Gernigon, Marc‐André K. Lafrenière

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

VenueJournal of Teaching in Physical Education · 2015
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsAutonomyPsychologyInformation and Communications TechnologyPhysical educationPerceptionTest (biology)Motor skillNeed for achievementSelf-determination theoryCognitionGross motor skillMathematics educationDevelopmental psychology

Abstract

fetched live from OpenAlex

The purpose of this study was to test an integrative model regarding the impact of information and communication technology (ICT) on achievement in physical education. Pupils’ perceptions of autonomy-support from teacher, satisfaction of basic psychological needs, and self-determined motivation were considered to mediate the impact of ICT on pupils’ cognitive skills and motor performance. Ninety-six pupils (44 boys and 52 girls; M age = 12.40 years) were assigned to either the ICT or the traditional teaching (TT) condition of a quasi-experimental design. Results from path analyses supported the hypotheses that: (a) perception of autonomy support from teachers satisfies pupils’ basic psychological needs; (b) basic needs satisfaction in turn leads to greater self-determined motivation, which (c) then contributes to the enhancement of cognitive skills and motor performance.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.559
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.347
Teacher spread0.327 · 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