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Record W1498577626 · doi:10.5539/ass.v11n13p98

The Relationship among Emotional Intelligence, Social Intelligence and Learning Behaviour

2015· article· en· W1498577626 on OpenAlexvenueno aff
Mali Praditsang, Zahyah Hanafi, Tim Walters

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsEmotional intelligencePsychologySocial intelligenceThe Emotional Intelligence AppraisalSocial emotional learningCognitionDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

The objective of this study was to gauge the level of emotional intelligence, social intelligence and learning behaviour among first-year students at a university in southern Thailand. The study examined whether demographic factors, emotional and social intelligence were related to students’ learning behaviour. The subjects were 569 first-year students in their second semester of the academic year. The study found that emotional intelligence and social intelligence were high while learning behaviour was at a medium level. When hierarchical multiple regression was used to examine the relationship among demographic factors, emotional intelligence, social intelligence and learning behaviour, the findings revealed that father’s education was negatively significant with learning behaviour. Emotional intelligence was not significantly related with learning behaviour. However, social intelligence was significantly related with learning behaviour, except for social cognition, self-presentation, influence and concern.

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 categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.699
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
Bibliometrics0.0000.001
Science and technology studies0.0040.003
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.112
GPT teacher head0.387
Teacher spread0.275 · 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; both teacher heads agree on what is shown here.

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

Citations15
Published2015
Admission routes1
Has abstractyes

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