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Record W3009448410 · doi:10.32674/jimphe.v4i1.1408

Challenges faced by International students at Kwantlen Polytechnic University

2019· article· en· W3009448410 on OpenAlexaffabout
Ashiq Ali Shah, Alexander Lopes, Linah Kareem

Bibliographic record

VenueInternational Journal of Multidisciplinary Perspectives in Higher Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsKwantlen Polytechnic University
Fundersnot available
KeywordsCoping (psychology)ReligiosityPsychologyInternational educationChinaMedical educationPedagogyHigher educationPolitical scienceSocial psychologyMedicineClinical psychology

Abstract

fetched live from OpenAlex

This study aimed to investigate the challenges international students face during their studies at Kwantlen polytechnic university. The research focused on the English language, study-related and financial issues, and adjustment to life in Canada. The participants were 25 females and 38 male students of 18- 35 years old from China, India and the Middle East. The materials included a challenges questionnaire, coping and religiosity scales, adjustment in Canada and religious involvement scales, and a demographic questionnaire. The data were collected at three campuses of KPU. The main challenges reported by the majority of international students were high tuition fees, high rents, part-time work, and missing the families. Most international students liked small class sizes, were satisfied with the education, felt comfortable communicating with professors, were welcomed by their peers and had adjusted to Canadian culture. In general, international students who used both emotion-avoidance and problem-focused coping strategies were better at facing challenges.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.046
GPT teacher head0.387
Teacher spread0.341 · 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.

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

Citations10
Published2019
Admission routes2
Has abstractyes

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