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Record W2997370354 · doi:10.21083/ajote.v8i0.5469

Institutional conditions for preparing critically reflective TEFL teachers in the PGDT Program of three Ethiopian universities

2019· article· en· W2997370354 on OpenAlexvenueno aff
Roba Danbi, Dereje Tadesse

Bibliographic record

VenueAfrican Journal of Teacher Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumReflection (computer programming)Reflective practiceContext (archaeology)Government (linguistics)InstitutionNarrativeMedical educationMathematics educationPedagogyPsychologyNarrative inquiryTeacher educationQualitative researchSociologyComputer scienceMedicine

Abstract

fetched live from OpenAlex

This paper assesses the role played by the institutional context in the preparation of critically reflective TEFL teachers in the Postgraduate Diploma in Teaching (PGDT) program of Dilla, Haramaya, and Hawasa Universities, Ethiopia. It examines the extent to which structured opportunities for reflection are used in the three institutions. A combination of quantitative and qualitative research methodologies was employed for collecting information regarding reflective practice in the PGDT program of the three universities. Multilevel mixed-method sampling techniques were utilized to select participants. Data were collected using questionnaires, semi-structured interviews and observation, and interpreted using simple statistical analysis and descriptive narrative approach. The study shows that most of the participants lack sufficient theoretical and practical knowledge of reflective practice. It shows that structured opportunities for reflection were not created for student teachers to practice reflection. The researchers, therefore, recommend that the government, curriculum designers, teacher education institution, and teacher educators create a common understanding about the goal of the program, and deliberately setup some structured opportunities to promote reflection in the institutions.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score0.709

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 communication0.0000.001
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 head0.037
GPT teacher head0.432
Teacher spread0.395 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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