MétaCan
Menu
Back to cohort
Record W2560062732 · doi:10.5430/ijhe.v6n1p131

Undergraduate Arab International Students' Adjustment to U.S. Universities

2016· article· en· W2560062732 on OpenAlexvenueno aff
Hazza M. Abu Rabia

Bibliographic record

VenueInternational Journal of Higher Education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsOutreachSocializationContext (archaeology)Exploratory researchHigher educationPolitical scienceInstitutionQualitative researchMedical educationStudy abroadPsychologySociologyPedagogySocial scienceMedicineGeography

Abstract

fetched live from OpenAlex

The adjustment process and issues of 16 Arab international students enrolled at two universities in the Northeast of the United States were examined through this qualitative, exploratory study. The participants were from Iraq, Jordan, Kuwait, Oman, Saudi Arabia, Syria, and United Arab Emirates and had been in the US for 2 to 5 years. In-depth interviews were employed to document and analyze the experiences and challenges of these students on U.S. campuses. One-on-one interviews with the participants revealed multiple factors obstructed Arab international students' academic success and limited their socialization within the context of their postsecondary institution, their host community, and their host nation. Several prevailing themes were discovered among the participants, including culture shock, language barrier, cultural differences, and isolation. While further research is needed, these findings suggest that specific programming and outreach by U.S higher education institutions could be implemented to assist Arab international students' adjustment to the academic and social environment of their host campus.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.020
GPT teacher head0.376
Teacher spread0.356 · 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 designNot applicable
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

Citations32
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Higher EducationSame topicInternational Student and Expatriate ChallengesFrench-language works237,207