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Record W4415571995 · doi:10.46627/sipose.v6i2.625

The Development of Teachers’ Epistemic Beliefs about Science: A Review of the Literature

2025· article· W4415571995 on OpenAlexaff
Ellen Watson, Sarah Ragoub

Bibliographic record

VenueStudies in Philosophy of Science and Education · 2025
Typearticle
Language
FieldPsychology
TopicEducational Strategies and Epistemologies
Canadian institutionsUniversity of ManitobaBrandon University
Fundersnot available
KeywordsFocus (optics)Empirical researchPhilosophy of scienceEpistemic virtueThematic analysisEmpirical evidence

Abstract

fetched live from OpenAlex

Empirical research studies investigating teachers’ epistemic beliefs about science are scattered across the science education literature. This research summarizes and describes the literature investigating the development of teachers’ epistemic beliefs about science over the last 25 years. The focus of this summary is on how teachers’ epistemic beliefs about science have been investigated and conceptualized as well as the themes arising from empirical studies considering this construct. Using a systematic literature review (PRISMA protocol), empirical research studies investigating the development of teachers’ epistemic beliefs about science were identified. Thematic analysis was used to analyze, summarize, and interpret data. Findings indicate that teachers’ epistemic belief development is commonly studied using interventions to instruct teachers about and engage them with the epistemic underpinnings of science. The nature of science was the most frequently used framework to conceptualize teachers’ epistemic beliefs about science, with few studies using approaches more common in the general epistemic belief or epistemic belief development literature. Reflections on and interpretations of the summary of this systematic literature are provided, including potential considerations for future directions of research investigating the development of teachers’ epistemic beliefs about science.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.542
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.005
Science and technology studies0.0010.022
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.055
GPT teacher head0.421
Teacher spread0.365 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations4
Published2025
Admission routes1
Has abstractyes

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