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Record W4406313541 · doi:10.21083/ajote.v13i3.7614

Investigating the effect of subject specialisations, academic performance, and gender on pre-service teachers’ nature of science beliefs

2024· article· en· W4406313541 on OpenAlexvenueno aff
Nkosinathi Ngwenya

Bibliographic record

VenueAfrican Journal of Teacher Education · 2024
Typearticle
Languageen
FieldPsychology
TopicEducational Strategies and Epistemologies
Canadian institutionsnot available
Fundersnot available
KeywordsBachelorNature of ScienceSubject (documents)PsychologyScience educationMathematics educationPolitical science

Abstract

fetched live from OpenAlex

The study sought to understand how students’ subject specialisations, academic achievements and gender influence the belief about nature of science (NOS) they hold at the end of their four year Bachelor of Education (B.Ed) degree programme in South Africa. The study was underpinned by an epistemological development theory. It was a quantitative study which involved one hundred and seventeen fourth-year students registered for a four-year Bachelor of Education degree, of whom 72 were females and 45 were males. The study revealed the following: (i) Most fourth year pre-service students were neither naïve nor sophisticated in their conception of NOS beliefs when they exited the programme. Students NOS beliefs also differed with respect to whether they were female or males. Overall, female students were slightly more sophisticated in their NOS beliefs than their male counterparts. (ii) The study also revealed that specialising in Physical Science, Life Sciences, and Technology had no effect on NOS beliefs held by both male and female students. (iii) However, male students specialising in Mathematics were found to hold more sophisticated NOS beliefs and these beliefs were significantly superior to their female counterparts. (iv) Students who academically performed at a distinction level had significantly superior NOS beliefs than those whose academic performance was just at a pass level. (v) Female students specialising in Physical Science had superior beliefs about how scientific knowledge is generated.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score0.345

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.368
Teacher spread0.332 · 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 designObservational
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
Published2024
Admission routes1
Has abstractyes

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