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Record W2902906814 · doi:10.19044/esj.2018.v14n31p370

Les Difficultés D’apprentissage En Éducation Physique Et Sportive: Une Étude De Trois Cas D’enseignement De La Course De Haies Au Bénin

2018· article· en· W2902906814 on OpenAlexaff
Agbodjogbe D. Basile, O. M., Kossivi Attiklemé, Georges Kpazaï

Bibliographic record

VenueEuropean Scientific Journal ESJ · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsLaurentian University
Fundersnot available
KeywordsPsychologySession (web analytics)Context (archaeology)Mathematics educationClass (philosophy)PedagogyHumanitiesComputer scienceArt

Abstract

fetched live from OpenAlex

This study explored the functioning of the in-situ didactic system to highlight the difficulties experienced by students in the third year of the secondary school level when performing the activities suggested by their Sport and Physical Education Teachers. Based on the logic of the ternarity of the didactic system (Amade-Escot, 2008; 2003), the interactions between the teachers and students during the teaching/learning of the race were the subjects of study. A triangulation method was utilized whereby data was collected by extracting information from various sources including (Leutenegger, 2009; Van Der Maren, 1996): documentary analysis, interviews conducted pre-session, post-session, and post-cycle, as well as audio-visual recording of the class sessions. Central concepts within the anthropological theory of didactic (Chevallard, 1992) and didactic joint action theory (Sensevy, 2007) were used to analyze and interpret the results of which the most salient revealed that the students have difficulty with crossing and resuming the race after the hurdle. The inter-hurdle race does not occur at regular intervals. These are difficulties previously noted by Lamote (2002) and Aubert (1994). Within the context of our investigation, the agglomeration of the contents of the program, the number of sessions (03) devoted to the teaching/learning cycle of this physical activity, the quality of the material used, and the personal interactions between the participants, were all factors shown to account for the difficulties experienced by the students.

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)0.021
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0010.000
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 head0.107
GPT teacher head0.458
Teacher spread0.351 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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