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Record W7147339046 · doi:10.38140/pie.v38i1.4305

Why teaching? Perspectives from first-year South African pre-service teachers

2020· article· W7147339046 on OpenAlexaboutno aff

Bibliographic record

VenuePerspectives in Education · 2020
Typearticle
Language
FieldSocial Sciences
TopicTeacher Professional Development and Motivation
Canadian institutionsnot available
Fundersnot available
KeywordsAttritionOpting outQuarter (Canadian coin)Teaching methodTeacher educationData collection

Abstract

fetched live from OpenAlex

South African initial teacher education institutes are currently experiencing an annual increase in admissions of first-year students. In addition, the increasing attrition rate of newly qualified teachers is of concern globally. This begs the question of why students are opting for teaching as a profession. This study focuses on reasons why first-year students have opted to study teaching at a South African University. The theoretical lens used is linked to the expectancy-value theory of achievement motivation (Wigfield & Eccles, 2000). Five hundred and eighty first year students participated in a mixed methods research study. Data was analysed by using theories of career motivation categories namely altruistic, extrinsic and intrinsic reasons. The findings indicate that more than half (60%) of the participants were motivated to do teaching for altruistic reasons, followed by almost a quarter (23%) choosing teaching for extrinsic reasons and lastly 17% opting to become teachers for intrinsic reason. This paper argues that it would be prudent for initial teacher education institutes to understand students’ rationale for selected teaching to support them to complete their qualification and remain in the profession.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.190
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.324
Teacher spread0.292 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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