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Record W3013404094

FEEDBACK MANAGEMENT OF PEDAGOGICAL INSPECTIONS OF PRESERVICE SPORT AND PHYSICAL EDUCATION TEACHERS IN INJEPS - REPUBLIC OF BENIN

2019· article· en· W3013404094 on OpenAlexaff
Agbodjogbe D. Basile, Atoun Carlos, Attiklemé Olivier, Kossivi Attiklemé, Georges Kpazaï

Bibliographic record

VenueInternational journal of innovation and applied studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Practices and Policies
Canadian institutionsLaurentian University
Fundersnot available
KeywordsInternshipContext (archaeology)Process (computing)Physical educationPedagogyPsychologyProduct (mathematics)Intervention (counseling)Mathematics educationSociologyMedical educationComputer scienceMedicineMathematics
DOInot available

Abstract

fetched live from OpenAlex

The aim of this research is to analyze the pedagogical management system of students in Science and Technology of Physical and Sports Activities in initial training at the National Institute of Youth, Physical Education and Sports (INJEPS ) during their internships in secondary schools. From a reading grid composed of the systemic model of the intervention process of Dunkin and Biddle (1974) and that of Chevallard (1992), this study problematizes on the one hand the didactic fact based on the variables of context, program, process and product and on the other hand the concept of praxeology. It also seeks to understand the key variables in the pedagogical supervision process and how the INJEPS manages the feedback produced by the supervisors of the INJEPS and the Pedagogical Inspectorate. From the analysis of the results of the investigations, it emerges that the supervisors of the two institutions focus mainly on the context, process and product variables during the pedagogical supervision of the trainees of the 3rd, 4th and 5th year, while the program variables are also taken into account in the first and second year. At the end of the supervisions, only the internship notes produced by the supervisors' teaching reports are taken into account by the administration during the partial and final evaluations of the students. No didactic treatment of the content of the feedbacks is done with a view to improving the pedagogical training of future teachers.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score0.180

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 head0.082
GPT teacher head0.448
Teacher spread0.366 · 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 designTheoretical or conceptual
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

Citations0
Published2019
Admission routes1
Has abstractyes

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