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Record W4319601689 · doi:10.54097/ehss.v8i.4582

Intergenerational Transmission of Math anxiety: Discussion About Research of Parents’ and Children’s Math Anxiety

2023· article· en· W4319601689 on OpenAlexaff
Kaiming Zhang

Bibliographic record

VenueJournal of Education Humanities and Social Sciences · 2023
Typearticle
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMathematical anxietyAnxietyMindsetPsychological interventionPsychologyDevelopmental psychologyAffect (linguistics)Clinical psychologyPsychiatryComputer science

Abstract

fetched live from OpenAlex

Math is an abstract and challenging subject, so students may have math anxiety when studying math. Math anxiety might be transmitted intergenerationally. This article discusses research on math anxiety’s intergenerational transmission in three aspects. The first aspect is the factors of parents influencing children’s math anxiety levels. These factors are parents’ math anxiety, intelligence mindset, parent-child relationships, and parental educational involvement. The second aspect is the influence of parental math anxiety on children. Parental anxiety can influence children’s math anxiety, math outcomes, and how much math they learn, and it can affect children as early as kindergarten age. The third aspect is the methods and interventions reducing children’s math anxiety and improving outcomes. Stopping parents with high math anxiety levels, using math applications involving interaction between parents and children, changing fixed mindset to growth mindset, and doing mindfulness are all interventions that can help reduce children’s math anxiety. In conclusion, the intergenerational transmission of math anxiety is critical and represented by factors of parents influencing children’s math anxiety level and the influence of parental math anxiety on children. Parents should use appropriate ways to reduce their children’s math anxiety. Further research should focus on the cause-and-effect relationship between parents’ math anxiety and children.

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)0.001
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 score0.459
Threshold uncertainty score0.747

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 studies0.0010.001
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 head0.104
GPT teacher head0.413
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

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 designObservational
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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

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