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Record W3129035319 · doi:10.5539/ies.v14n2p76

Subject Matter Competency Perceptions of Teacher Educators in Education Faculties of Turkey

2021· article· en· W3129035319 on OpenAlexvenueno aff
Fatma Gözalan Çiçek, Mehmet Taşpınar

Bibliographic record

VenueInternational Education Studies · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicEducation Practices and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsSubject matterCompetence (human resources)PerceptionPsychologyMathematics educationPedagogyTeacher educationSubject (documents)Scale (ratio)CurriculumSocial psychologyGeography

Abstract

fetched live from OpenAlex

The purpose of the current study is to determine teacher educators’ level of general subject matter competency perception and to investigate whether this level varies depending on different variables. In the collection of the data of the study employing the survey model, a single dimension and 106-item “scale of teacher educators’ general subject matter competency perceptions” was used. The scale was prepared in the online environment and sent to 8200 faculty members working in education faculties all over Turkey by e-mail. A total of 789 teacher educators responded to the scale. It was found that the teacher educators generally consider themselves highly competent in terms of general subject matter competences. The area with the lowest competence perception level was found to be foreign language. The teacher educators’ general subject matter competence perceptions were found to be not varying significantly depending on their gender, type of the university where they are working (state/foundation), academic title, discipline (educational sciences/subject area education) and teaching experience. In light of these findings, it can be argued that these competences should be considered in the recruitment of teacher educators in education faculties.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0070.000

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 head0.073
GPT teacher head0.387
Teacher spread0.314 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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