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Record W4411896243 · doi:10.5539/jel.v14n5p380

The Use of the Peer Teaching Model in Physical Education and Sports Instruction

2025· article· en· W4411896243 on OpenAlexvenueno aff
Halil Tanır

Bibliographic record

VenueJournal of Education and Learning · 2025
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical educationPsychologyMathematics educationTeaching methodPeer instructionPedagogyPeer feedback

Abstract

fetched live from OpenAlex

This study is a review that aimed to examine the effects of the peer teaching model implemented in physical education classes on students’ motor skill development, acquisition of fundamental skills, maintenance of physical fitness, self-confidence, and cooperation. Various scientific studies conducted with students of different ages and skill levels were examined. These studies have found that education using peer teaching positively affects students’ psychomotor development and leads to higher levels of participation and success compared to traditional teaching methods. In interventions implemented across different sports branches, it was observed that the accuracy of students’ performances increased and the number of repetitions grew. Furthermore, it was determined that using the peer teaching model enhances students’ self-confidence, promotes social interaction, and contributes to the development of healthy lifestyle habits. On the basis of the present study’s findings, it is recommended that the peer teaching model be systematically integrated into physical education curricula. Providing short-term guidance training to educators may also enhance the effectiveness of the model. Peer teaching should be regarded as a holistic approach that supports both physical and socio-emotional development, and it is an effective instructional strategy in the field of physical education.

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)0.001
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 score0.602
Threshold uncertainty score0.472

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 studies0.0010.000
Scholarly communication0.0000.000
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 head0.072
GPT teacher head0.481
Teacher spread0.410 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

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