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Record W4408359658 · doi:10.37119/ojs2025.v30i1.732

Experiences of International Students in Postsecondary Education: A Literature Review

2025· review· en· W4408359658 on OpenAlexaffvenueabout
Jane P. Preston

Bibliographic record

Venuein education · 2025
Typereview
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsHealth PEI
Fundersnot available
KeywordsPostsecondary educationMathematics educationMedical educationPedagogyHigher educationPsychologySociologyPolitical scienceMedicineLaw

Abstract

fetched live from OpenAlex

The purpose of this literature review is to describe the educational experiences of international students enrolled in English-medium postsecondary institutions. Because the United States, Canada, the United Kingdom, and Australia currently host the largest international student populations globally, enrollment statistics for each country are presented. A systematic review of 70 peer-reviewed publications was conducted to identify key findings related to the experiences of international students in English-medium postsecondary education. Data were collected and analyzed to ensure the reliability and validity of the results. Findings indicate that academic English proficiency significantly influences the experiences of international students. Moreover, a key challenge for these students often lies in navigating and adapting to the unfamiliar pedagogical approaches employed within host institutions. Finally, the well-being and academic success of international students are significantly influenced by sociocultural factors, surrounding acceptance, integration, and experiences of discrimination. The paper concludes with a summary of the results and a discussion of possible avenues for future research. Keywords: international students, postsecondary education, higher education, experiences, barriers

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.806
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.024
GPT teacher head0.479
Teacher spread0.455 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2025
Admission routes3
Has abstractyes

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