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Record W2101024218 · doi:10.21083/ajote.v3i1.2030

Pre-service Teachers’ Teaching Competencies: The Experience of Practising Teaching in Secondary Schools and Teacher Colleges

2013· article· en· W2101024218 on OpenAlexvenueno aff
Josta Lameck Nzilano

Bibliographic record

VenueAfrican Journal of Teacher Education · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTanzaniaTeacher educationChristian ministryMedical educationPortfolioMicroteachingPedagogyDar es salaamPsychologyMathematics educationMedicineSociologyPolitical scienceBusiness

Abstract

fetched live from OpenAlex

The purpose of this study was to explore the competences of pre-service teachers from Tanzania’s University of Dar es Salaam during practice teaching in secondary schools and teacher education colleges. The following were the objectives of the study: first to examine the ways pre-service teachers prepared for classroom teaching, and second to assess the effectiveness of pre-service teachers in managing classroom teaching and learning activities. The study involved 30 pre-service teachers and 8 educational officers from secondary schools and teacher colleges. The instruments for data collection were a questionnaire, semi-structured interviews, portfolio reviews, and classroom observations. Results revealed the limited competencies among pre-service teachers in classroom teaching. The study recommended reforms of the pre-service teachers’ professional development program, the improvement of the educational policies, and the cooperation between educational managers from schools, colleges, and the Ministry of Education for quality education.

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)0.002
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 score0.095
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.050
GPT teacher head0.365
Teacher spread0.315 · 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

Citations15
Published2013
Admission routes1
Has abstractyes

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