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Record W4403576645 · doi:10.2478/jtes-2024-0005

A Teachers’ Coaching Approach to Sustainable Professional Development

2024· article· en· W4403576645 on OpenAlexfundno aff
Raoui Manal, Mohamed Droui, Fatima Zahra Guerss

Bibliographic record

VenueJournal of Teacher Education for Sustainability · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaFonds de Recherche du Québec-Société et Culture
KeywordsCoachingSustainable developmentProfessional developmentFaculty developmentPedagogyPsychologyEducation for sustainable developmentSociologyMathematics educationEngineering ethicsPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Abstract The value of coaching teachers by professional coaches in their school context is recognized to provide them with sustainable professional development (SPD). However, little is known about the coaching process promoting SPD and the variables that can explain its quality. Three objectives were pursued: 1) to describe the quality of the coaching process; 2) to determine the characteristics of the coach, and 3) to identify the characteristics of the school context that can explain quality to promote SPD. An Embedded Multiple-Case Study Design was conducted at two different schools. Results describe that the quality of the coaching process was clear in its orientation to precise goals, its complexity, and its dynamism. The coaches’ characteristics that can explain the quality of the coaching process to promote SPD are their perceptions of the context and their conceptions. The most important characteristic of the context that can reveal the quality of coaching enacted is the leadership of the school principal and the teachers’ culture of collaboration.

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)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.065
GPT teacher head0.422
Teacher spread0.357 · 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 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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