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Record W2058375989 · doi:10.5539/ass.v11n10p153

International Student’s Academic Achievement: Contribution of Gender, Self-efficacy and Socio-cultural Adjustment

2015· article· en· W2058375989 on OpenAlexvenueno aff
Aqeel Khan, Abdul Rahim Hamdan, Roslee Ahmad, Mohamed Sharif Mustaffa

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
FundersUniversiti Teknologi Malaysia
KeywordsKuala lumpurPsychologyAcademic achievementSelf-efficacySocial psychologyRegression analysisDevelopmental psychology

Abstract

fetched live from OpenAlex

International students who pursue their education in other country have to cope various challenges related to their adjustment. Successful adjustment to higher learning institution becomes an important issue, failure to which may hinder self-efficacy and their academic achievement. Aim of current research is to investigate the influence of self-efficacy, and socio-cultural adjustment on their academic achievement among International students in Malaysia. Two hundreds International students were randomly selected from the Kuala Lumpur, Out of these 100 belongs to male and 100 belong to female category. The age range of the respondents are 17 to 27 years (Mean=20.55). Various psychological constructs were used to assess the studied variables. Correlational and regression statistical analysis were applied. Findings reveal significant positive correlation in academic achievement with socio-cultural adjustment and self-efficacy. Gender, self-efficacy and socio-cultural adjustment significantly predicts students’ academic achievement. Findings proved gender, self-efficacy and socio-cultural adjustment significantly effecting International student’s academic achievement among International students in Malaysia. Implications for International students are significant in terms of countering adjustment problems by developing self-efficacy and cultural values as a result academic achievement may improve.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.057
GPT teacher head0.389
Teacher spread0.332 · 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 designQualitative
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

Citations18
Published2015
Admission routes1
Has abstractyes

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