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Student Perceptions on the Benefits and Barriers to Study Abroad

2023· article· en· W4381189804 on OpenAlexaffvenue
Chris Houser, Mikayla Bornais

Bibliographic record

VenueThe Canadian Journal for the Scholarship of Teaching and Learning · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsStudy abroadCurriculumPerceptionHigher educationPsychologyMedical educationPedagogyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

This study examines perceptions of the benefits and barriers to study abroad amongst undergraduate students studying at the Soltis Center for Research and Education in Costa Rica, in 2018 and 2019. A total of 49 students representing five different study abroad programs from three institutions participated in the study. Cost, personal obligations, and timing of the program were identified by all respondents as the most important barriers to student participation in a study abroad program. Results of a Q-sort suggests that perceived benefits varied by academic year of the student and their experience with study abroad, and other high impact learning experiences. Upper-year students, as well as those with previous travel experience, viewed study abroad as an opportunity to develop career-relevant skills, while lower-year students and those with less travel experience perceived broadening horizons and personal growth as the most important benefits. The transition in perceived benefits can be used to effectively structure study abroad within the undergraduate curriculum to maximize benefits for student learning.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.070
GPT teacher head0.384
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2023
Admission routes2
Has abstractyes

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