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Record W325289805

The Effects of Social Psychological Concepts on Academic Performance

2014· article· en· W325289805 on OpenAlexaff
Nicole Zomer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicEducation, Achievement, and Giftedness
Canadian institutionsKing's University College
Fundersnot available
KeywordsStereotype threatPsychologyAffect (linguistics)Social psychologyAcademic achievementAnxietySelf-esteemDevelopmental psychologyStereotype (UML)Goal theory
DOInot available

Abstract

fetched live from OpenAlex

Stereotype threat, motivation, self-handicapping, and self-esteem are factors that are found to affect student education and academic ability. The following literature review examines each factor individually and addresses the costs and benefits relating to education. Stereotype threat and self-handicapping are found to affect academic performance negatively. Intrinsic and extrinsic types of motivation are also found to influence academic ability. Intrinsic motivation serves as a positive influence, while extrinsic motivation is found to affect academic ability negatively. The type of motivation a student develops depends on the learning environment of the student, including the type of encouragement or pressure a student receives from parents, teachers, and peers. Different levels of self-esteem in students are also related to different levels of achievement, academic perseverance, and social anxiety. The factors examined in this literature review address concerns for biased and unsupportive classrooms. It also considers future implications of this psychological research to improve student education and promote more successful learning environments. An education system is of utmost

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.747
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.025
GPT teacher head0.408
Teacher spread0.383 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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