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Record W3010959282 · doi:10.5430/ijhe.v9n3p120

The Relationship between Personality Traits, Academic Self-Efficacy and Academic Adaptation among University Students in Jordan

2020· article· en· W3010959282 on OpenAlexvenueno aff
Mohammed H. Abood, Bassam H. Alharbi, Fatin A. Mhaidat, Ahmad M. Gazo

Bibliographic record

VenueInternational Journal of Higher Education · 2020
Typearticle
Languageen
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsConscientiousnessAgreeablenessOpenness to experiencePsychologyBig Five personality traitsExtraversion and introversionNeuroticismHierarchical structure of the Big FivePersonalitySelf-efficacyBig Five personality traits and cultureAcademic achievementSocial psychologyClinical psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

The current study investigates the relationship between personality traits according to the big five personality factors model, academic self-efficacy and academic adaptation among Hashemite University students in light of gender and specialization. The purposive sample consisted of 546 under graduated students, 258 males and 306 females. Three scales are used: the Five Factor Model (FFM), for academic self-efficacy and for academic adaption. The results show statistically significant differences in the average of participants’ degrees attributed to efficacy and academic adaption in favor of females and scientific specializations. They also show that agreeableness, conscientiousness, openness to experience, extroversion and neuroticism are most common among university students, with a statistically significant positive correlation between extroversion, openness to experience, academic self-efficacy and academic adaption and a negative correlation between neuroticism, conscientiousness, academic self-efficacy and academic adaption. No correlation was found between agreeableness and these two variables.

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)0.001
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 score0.028
Threshold uncertainty score0.429

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.103
GPT teacher head0.414
Teacher spread0.311 · 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

Citations40
Published2020
Admission routes1
Has abstractyes

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