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Record W4414148394 · doi:10.1016/j.metip.2025.100209

Evaluating the impact of contemplative pedagogy on mathematics anxiety in a mandatory post-secondary mathematics course

2025· article· en· W4414148394 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

VenueMethods in Psychology · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsOkanagan University CollegeOkanagan College
Fundersnot available
KeywordsContemplationIntervention (counseling)Mathematical anxietyQualitative researchMindfulnessQualitative property

Abstract

fetched live from OpenAlex

Bleak attitudes surrounding mathematics as well as mathematics anxiety (negative emotional or physiological responses to mathematics), erect barriers and diminish life chances for many. Using a convergent mixed method design, this study investigated how contemplative pedagogy could support mandatory post-secondary mathematics courses. Two sections of the same course formed the sample, where the intervention incorporated contemplative pedagogy. The triangulation of the mixed methods data – qualitative (researcher field notes, math origin stories, and semi-structured interviews) and quantitative (pre- and post-questionnaires and course grades) – concluded that the use of contemplative pedagogy was a viable intervention to reduce mathematics anxiety, diminish mathematics avoidance, improve mathematics attitudes, and increase mathematics performance. Results further indicated that contemplative pedagogy fostered the building of community and initiated positive transformations.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
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 head0.206
GPT teacher head0.597
Teacher spread0.391 · 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