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Record W7112742099

Practitioners’ experiences with collaborative learning among students in mathematics support centres

2025· article· en· W7112742099 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePure (Coventry University) · 2025
Typearticle
Languageen
FieldMathematics
TopicMathematics Education and Programs
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsCollaborative learningExploratory researchProfessional learning communityExperiential learningCooperative learningActive learning (machine learning)Educational technology
DOInot available

Abstract

fetched live from OpenAlex

Practitioners in Higher Education Institutions (HEIs) have been adopting and developing the practice of Mathematics Learning Support (MLS) services for the last forty years. These services vary in size and operation, but at the core of many is a MLS centre: a room dedicated to helping students with queries, which is resourced with tutors, worksheets, whiteboards, and so on. While generally these services are designed around one-to-one interactions, students in some institutions use these centres as collaborative study spaces. Inspired by this spontaneous collaborative learning among students, this exploratory mixed methods study aims to investigate the potential active utilisation of collaborative learning by mathematics support practitioners. This article examines themes developed from a recent series of interviews with practitioners on this topic.

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.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.016
GPT teacher head0.295
Teacher spread0.279 · 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