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Record W2993097934 · doi:10.21083/ajote.v8i0.5372

Teaching efficacy beliefs of Ghanaian basic school teachers and their subject specializations

2019· article· en· W2993097934 on OpenAlexvenueno aff
Philip Boateng, Ato Kwamina Arhin, Frank Owusu Sekyere, Asare Koto, Samuel Nti Adarkwah

Bibliographic record

VenueAfrican Journal of Teacher Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBachelorSubject (documents)Mathematics educationSelf-efficacyBachelor degreePsychologyDescriptive researchService (business)Scale (ratio)Descriptive statisticsTeacher educationMedical educationPedagogyMedicineSociologyComputer scienceMathematicsPolitical scienceSocial scienceLibrary scienceSocial psychology

Abstract

fetched live from OpenAlex

This study explores personal teaching efficacy beliefs of basic school teachers in Ghana undergoing recertification to upgrade their qualification. The study examines whether the personal teaching efficacy of the teachers is affected by their subject specialisation. A descriptive survey design was employed for the study. Data for the study was obtained from a total of 185 in-service teachers selected randomly from a group of teachers who were undergoing recertification from diploma to bachelor degree in basic education in a teacher education university in Ghana. Teacher Sense of Efficacy Scale (TSES) was adapted and used to measure in-service teachers’ personal teaching efficacy beliefs. The findings of the study showed that in-service teachers have a high sense of personal teaching efficacy. The study also revealed that in-service teachers’ level of self-efficacy was not affected by their subject specialization.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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)0.0000.000

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 head0.043
GPT teacher head0.348
Teacher spread0.305 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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