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Record W199631437

Academic Self-Perception and Its Relationship to Academic Performance

2008· article· en· W199631437 on OpenAlexvenueno aff
Ronald W. Stringer, Nancy L. Heath

Bibliographic record

VenueCanadian Journal of Education / Revue canadienne de l éducation · 2008
Typearticle
Languageen
FieldMathematics
TopicCognitive and developmental aspects of mathematical skills
Canadian institutionsnot available
Fundersnot available
KeywordsCompetence (human resources)PsychologyPerceptionHumanitiesAcademic achievementSocial psychologyDevelopmental psychologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

One hundred and fifty ‐ five students (average age, 10 years 7 months) were initially tested on reading, arithmetic, and academic self ‐ perception. One year later they were tested again. Initial academic scores accounted for a large proportion of the variance in later academic scores. The children’s self ‐ perceptions of academic competence accounted for significant variance in academic performance one year later. However, neither the academic self ‐ perceptions at the beginning of the study nor changes in self ‐ perceptions over time predicted changes in academic performance. Self ‐ percep ‐ ion of academic competence cannot play a simple, causal role in academic achieve ‐ ment. Key words: self ‐ perception, competence, achievement Cent cinquante ‐ cinq eleves (âge moyen : dix ans, sept mois) ont ete examines au niveau des competences alphabetiques et mathematiques, ainsi que la perception de soi scolaire. Les resultats initiaux des examens scolaires expliquaient la plupart de la variance liee aux resultats des seconds examens. Les mesures de la perception de soi expliquaient aussi une part significative de cette variance. Cependant, ni la percep ‐ tion de soi initiale, ni les changements de perception de soi ne semblent indiquer les changements de performance scolaire. Nous constatons que la perception de soi scolaire ne peut jouer un role causal simple dans la performance scolaire. Mots cles: perception de soi, competence, performance

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.669
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.089
GPT teacher head0.316
Teacher spread0.227 · 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

Citations53
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Education / Revue canadienne de l éducationSame topicCognitive and developmental aspects of mathematical skillsFrench-language works237,207