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Record W4410176412 · doi:10.11124/jbies-24-00353

Factors that influence international nursing students’ experiences and perceptions of their learning environments: a scoping review

2025· review· en· W4410176412 on OpenAlexaboutno aff
Fatch Welcome Kalembo, Sally Wilson, Terena Solomons, Irene Ngune, Eric Lim, Anna Bosco, Paul Kebble, John E. Taplin, Janie Brown

Bibliographic record

VenueJBI Evidence Synthesis · 2025
Typereview
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsnot available
Fundersnot available
KeywordsCINAHLPsycINFOScopusMEDLINENursingInclusion (mineral)Medical educationNurse educationMedicinePsychologyPolitical sciencePsychological intervention

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this review was to explore factors that influence international undergraduate nursing students' experiences and perceptions of their learning environment. INTRODUCTION: In the past 2 decades, international student enrollment in tertiary education increased globally, with English-speaking countries such as Australia, Canada, the United Kingdom, and the United States attracting a significant majority of these students. Many of these international students are attracted to studies in health professions and related sciences, particularly nursing. Despite their economic and cultural contributions to the host country, international nursing students face numerous challenges that affect their learning experiences. INCLUSION CRITERIA: Peer-reviewed studies reporting on the factors that positively or negatively influenced international undergraduate nursing students' perceptions or experiences of their learning environment within the higher education sector, onshore in any country other than their own, were included. Studies of any research design and from any country were considered. Studies reporting on students whose educational preparation was vocational or led to registration to work under the supervision of registered nurses were excluded. Perceptions or experiences reported by educators, mentors, or clinical facilitators who supported international nursing students were also excluded. METHODS: A search for relevant records was conducted in CINAHL (EBSCOhost), MEDLINE (Ovid), Embase (Ovid), Emcare (Ovid), PsycINFO (Ovid), Web of Science Core Collection, Scopus, and ScienceDirect. Databases were searched from 1995 onward for published studies on October 12, 2020, then subsequently updated on July 1, 2022, and March 15, 2024. Gray literature was searched using Google Scholar, CORE, and BASE. A data extraction tool developed by the reviewers was used to extract data from the included studies. The extracted data were analyzed through content analysis and simple qualitative synthesis based on the review questions. The findings are presented in narrative format, supported by mind maps and tables. RESULTS: A total of 1928 records was identified in the databases. Of these, 10 were duplicates. The titles and abstracts of the remaining 1918 records were screened, and 1876 records were excluded for not meeting the study inclusion criteria. Forty-two full-text reports were retrieved and assessed against the eligibility criteria. Of the 42 reports, 13 discrete studies met the criteria for inclusion in this review. Findings from the included studies showed that international student nurses faced language barriers, cultural challenges, and discrimination in academic and clinical settings, compounded by inadequate support and high academic demands, which affected their well-being. International student nurses employed strategies, such as seeking mentorship and participating in simulations, to adapt. They also benefited from orientation programs and peer networks for adjustment. CONCLUSION: The challenges faced by international nursing students, such as language barriers and discrimination, may significantly affect their educational experiences. The findings of this scoping review underscore the need for further research to develop and evaluate support programs and resources to promote positive experiences for international nursing students within their learning environment. SUPPLEMENTAL DIGITAL CONTENT: A Chinese-language version of the abstract of this review is available at: http://links.lww.com/SRX/A85.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.879
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.073
GPT teacher head0.451
Teacher spread0.378 · 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 designSystematic review
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

Citations3
Published2025
Admission routes1
Has abstractyes

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