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Record W3168393421 · doi:10.2478/dcse-2021-0003

Self-Efficacy of Physical and Health Education Student Teachers in the Quebec Context

2021· article· en· W3168393421 on OpenAlexaffabout
Salem Amamou, François Vandercleyen, Jean-François Desbıens

Bibliographic record

VenueDiscourse and Communication for Sustainable Education · 2021
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversité de SherbrookeUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsPsychologyStructural equation modelingCompetence (human resources)Confirmatory factor analysisGoodness of fitConvergent validityBachelorSelf-efficacyContext (archaeology)Scale (ratio)Exploratory factor analysisPhysical educationTeacher educationMathematics educationPsychometricsSocial psychologyDevelopmental psychologyMathematicsStatistics

Abstract

fetched live from OpenAlex

Abstract Pre-service training is a critical period for establishing the beliefs of future teachers in their ability to successfully assume their responsibilities as teachers. One of the goals of teacher education programs would therefore be to cultivate a high sense of competence among students. For this purpose, a scale to measure the perception of self-efficacy (PSE) among Quebec physical and health education trainees during teaching has been developed and empirically validated. Teacher trainees (n = 232) enrolled in 3 rd and 4 th year in the Bachelor of Education in Physical and Health Education (PHE) in four different university programs in Quebec participated in the study. Subsequent exploratory and quasi-confirmatory factor analyses led to the development of an instrument with 19 items divided into three factors, explaining 66.10 % of the total variance. The convergent and divergent measures of validity are satisfactory, as are those of the reliability of the three scales (upper lower limit: .78 to .93). Finally, the RMSR, CFI, RMSEA and NNFI indices show an excellent goodness of fit of the model obtained.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.785

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.024
GPT teacher head0.402
Teacher spread0.378 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueDiscourse and Communication for Sustainable EducationSame topicMotivation and Self-Concept in SportsFrench-language works237,207