MétaCan
Menu
Back to cohort
Record W4412702983 · doi:10.1080/01626620.2025.2535357

Seeking Utility: Secondary Mathematics Pre-Service Teachers’ Experiences in General Education Courses

2025· article· en· W4412702983 on OpenAlexafffundabout
Limin Jao, Martin Ako, Stephanie Beck, Gurpreet Sahmbi

Bibliographic record

VenueAction in Teacher Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMathematics Education and Teaching Techniques
Canadian institutionsUniversity of TorontoUniversité LavalMcGill University
FundersFonds de Recherche du Québec-Société et CultureFederation for the Humanities and Social Sciences
KeywordsMathematics educationSecondary educationPedagogyHigher educationPsychologySociologyPolitical science

Abstract

fetched live from OpenAlex

This study examined the perspectives of Canadian secondary mathematics pre-service teachers (PSTs) in general education (GE) courses. Data gathered through semi-structured interviews indicate that while PSTs prefer courses and pedagogical approaches that make explicit and immediate connections to practice and their mathematics-specific context, they nonetheless value the philosophical orientations developed through GE courses. Instructors were crucial in connecting theory-to-practice, serving as models of good instructional practices, and supporting PSTs in developing their teaching philosophy. This study reveals the challenge that education programs are still experiencing to balance general, philosophical objectives and PSTs discipline-specific context. The findings highlight the need to streamline GE courses to accommodate secondary mathematics PSTs’ subject-specific needs and design more meaningful theory-to-practice connections for PSTs’ pedagogical growth. Practical actions for program and course developers are proposed.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.414
Teacher spread0.370 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

Explore more

Same venueAction in Teacher EducationSame topicMathematics Education and Teaching TechniquesFrench-language works237,207