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Record W2992047998

Preferred Social, Emotional, and Behavioral Characteristics of Instructors From Gifted Students Perspectives

2016· article· en· W2992047998 on OpenAlexvenueno aff
Majed Al-Khayat, Fatima Aladwan

Bibliographic record

VenueCanadian social science · 2016
Typearticle
Languageen
FieldPsychology
TopicEducation, Achievement, and Giftedness
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologySocial emotional learningScale (ratio)Social psychologyStatistical analysisDevelopmental psychology
DOInot available

Abstract

fetched live from OpenAlex

The main aim of this study is to investigate the specific social, emotional and behavioral characteristics that the gifted students prefer to have their instructors’ during the first university year at Al Balqa Applied University. Study sample consisted of (60) gifted students (Male and female). A validated scale was developed to measure instructors’ characteristics. Results revealed that the means for the social characteristics were the highest, followed by the emotional characteristics, and then behavioral characteristics. The results also showed that there were statistical significance differences in emotional, social and behavioral characteristics according to the teacher’s gender. While female teachers were more interested in the emotional dimensions, male instructors were interested in social and behavioral characteristics. Further, there were significant differences in the subscales according to specialization in favor of Humanities Colleges.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.988

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.372
Teacher spread0.329 · 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
Published2016
Admission routes1
Has abstractyes

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