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The Development of Critical Thinking Skills during Practical Training: The Perspectives of Pedagogical Supervisors and Sports and Physical Education Trainees

2024· article· en· W4399429963 on OpenAlexaff
Beralex Vianney Nziengui Nsonde, Paulin Mandoumoou, Georges Kpazaï

Bibliographic record

VenueEuropean Scientific Journal ESJ · 2024
Typearticle
Languageen
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsLaurentian University
Fundersnot available
KeywordsInternshipPsychologyCritical thinkingCoachingPedagogyMathematics educationProfessional developmentQualitative researchMedical educationSociologyMedicine

Abstract

fetched live from OpenAlex

In the Republic of Congo, formal teacher training is comprised of both theoretical and practical components. Theoretical training takes the form of theoretical courses within the training institution itself. On the other hand, practical training takes place in professional settings such as secondary school. The purpose of this comparative study was to identify the conceptions of critical thinking development held by pedagogical supervisors and student trainees. Rooted in a qualitative methodological approach, this research was based on Eric Lavertu's (2013) conceptual approach to the development of critical thinking during internships. Eight (08) pedagogical supervisors and nineteen (19) student-interns voluntarily participated in the study via focus groups. The results revealed a categorization of several didactic-pedagogical devices for the development of student-interns' critical thinking, according to both the pedagogical supervisors and the studentinterns themselves. To foster the development of critical thinking in student trainees, the devices mentioned specify that the supervisor must implement a supervisory pedagogical approach anchored in a socio-constructivist paradigm to accompany the student's development while employing a reflective approach in coaching. In addition, these systems stress the importance of placing the student at the center of their learning, making them a real player in their own development.

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)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.153
GPT teacher head0.512
Teacher spread0.359 · 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
Published2024
Admission routes1
Has abstractyes

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