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Record W4313642249 · doi:10.23977/aetp.2022.061210

A Study to Promote Students' Non-cognitive Ability——Based on Educational Psychology Theory

2022· article· en· W4313642249 on OpenAlexvenueno aff
Qingfeng Shen

Bibliographic record

VenueAdvances in Educational Technology and Psychology · 2022
Typearticle
Languageen
FieldPsychology
TopicPsychological and Educational Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCuriosityPsychologyAffect (linguistics)CognitionFlexibility (engineering)ConscientiousnessGraduation (instrument)AdaptabilityCognitive flexibilityQuality (philosophy)Applied psychologyDevelopmental psychologyPersonalitySocial psychologyCognitive psychologyBig Five personality traits

Abstract

fetched live from OpenAlex

In recent years, some specific non-cognitive abilities gradually attract the attention of the education circle, including curiosity, self-management ability, adaptability to changes, conscientiousness, flexibility, and the ability to cooperate with heterogenous partners effectively. These non-cognitive abilities as the key skills that the students will need in society can not only affect their school records and education choices during their teenage, but also exert an influence on their longer-term performance and living quality after graduation. Presently, people have reached a consensus on the importance and cultivability of non-cognitive skills, and a series of education revolutions have been triggered internationally. Under this background, how to improve the students’ non-cognitive abilities becomes the research focus of this paper. The paper combed the concept of non-cognitive abilities, reviewed and analyzed the non-cognitive ability factors that can affect scholastic achievement, and put forward relevant suggestions.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.036
GPT teacher head0.492
Teacher spread0.456 · 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.

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
Published2022
Admission routes1
Has abstractyes

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