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Record W3137717117 · doi:10.9734/jesbs/2020/v33i930256

The Significance of Professional Communication Skills for Future Tunisian Physical Education Teachers

2020· article· en· W3137717117 on OpenAlexaboutno aff
Aymen Hawani, Mohamed Sami Bouzid, Maher Mrayah

Bibliographic record

VenueJournal of Education Society and Behavioural Science · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyCompetence (human resources)Medical educationAppropriationContent analysisQualitative researchCommunication skillsSemi-structured interviewPedagogyProfessional developmentMedicineSociologySocial psychology

Abstract

fetched live from OpenAlex

This study consists of a secondary analysis of the qualitative data of interviews carried out with mentoring teachers (MT) in order to present their conceptions on the quality of appropriation of the professional competence of communication. In particularly on the components of the communication competence of students interns during the preparation course for professional life at the end of the initial training.
 To carry out this study, we developed a specific interview for this study. The content of the interview guide was the six components of communication skills drawn from the professional skills reference guide for teachers in Quebec.
 Interview data was collected based on audio recordings provided using a Dictaphone. The content of each interview has been completely rewritten as verbatim. Interview processing consists first of transcribing the verbatim interviews and then analyzing them using the general inductive analysis procedure.
 The data collected from the interview intended for mentoring teachers (MT) revealed that they have the same vision with regard to the importance of the professional communication skills of future physical education teachers and emphasize their weakness during educational interventions.

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 score0.191
Threshold uncertainty score1.000

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 studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.117
GPT teacher head0.472
Teacher spread0.355 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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