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Record W3133822464 · doi:10.20849/jed.v5i1.866

Students’ Math Self-Concept, Math Anxiety, and Math Achievement: The Moderating Role of Teacher Support

2021· article· en· W3133822464 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Education and Development · 2021
Typearticle
Languageen
FieldPsychology
TopicEducation, Achievement, and Giftedness
Canadian institutionsMcMaster UniversityMcGill University
Fundersnot available
KeywordsMathematical anxietyAnxietyModerationPsychologyAssociation (psychology)Developmental psychologyEmotional supportMathematics educationSocial psychologySocial support

Abstract

fetched live from OpenAlex

This study explored the moderating roles of teacher instrumental and emotional support on the association between students’ math anxiety/math self-concept and math achievement. Participants included 21,544 Canadian students aged 15 years (10,943 girls) who participated in the 2012 Program for International Student Assessment. Results indicated that instrument support and emotional support were positively associated with math achievement. A significant moderation effect was evident between instrumental support and math anxiety; higher levels of instrumental support were associated with higher math achievement at low levels of math anxiety. Emotional support did not interact with math anxiety or math self-concept. The present findings highlight the importance to consider not only individual factors (i.e., math anxiety and math self-concept) but also the role of teacher support in supporting math achievement.

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)0.001
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 score0.095
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.017
GPT teacher head0.326
Teacher spread0.309 · 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