MétaCan
Menu
Back to cohort
Record W4408190579 · doi:10.23977/aetp.2025.090112

A Study on the Infiltration of Positive Psychological Qualities in Subject Education in Primary and Secondary Schools

2025· article· en· W4408190579 on OpenAlexvenueno aff

Bibliographic record

VenueAdvances in Educational Technology and Psychology · 2025
Typearticle
Languageen
FieldComputer Science
TopicEducation and Learning Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsInfiltration (HVAC)PsychologySubject (documents)Mathematics educationPedagogySecondary educationMedical educationDevelopmental psychologyMedicineGeographyComputer scienceLibrary science

Abstract

fetched live from OpenAlex

In 2021, the General Office of the Ministry of Education issued the Notice on Strengthening the Management of Mental Health for Primary and Secondary School Students, explicitly stating the need to "vigorously cultivate students' positive psychological qualities and fully leverage the important roles of physical education, aesthetic education, labor education, and campus culture to comprehensively promote the mental health development of students." This paper explores the current status of the infiltration of positive psychological quality cultivation in subject education in primary and secondary schools and analyzes existing issues such as limited teacher cognition, narrowed teaching objectives, and monotonous teaching methods. Through research, targeted strategies are proposed: establishing correct cognitive concepts, adopting diverse teaching methods, employing reasonable infiltration strategies, and expanding psychological knowledge to implement comprehensive teaching infiltration. These strategies aim to cultivate students' positive psychological qualities through subject education, thereby promoting their comprehensive development.

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 score0.360
Threshold uncertainty score0.292

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.020
GPT teacher head0.413
Teacher spread0.393 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in Educational Technology and PsychologySame topicEducation and Learning InterventionsFrench-language works237,207