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Record W2034753343 · doi:10.5430/ijhe.v3n4p49

Motivators and Outcomes of Faculty Actions towards International Students: Under the Influence of Internationalization

2014· article· en· W2034753343 on OpenAlexvenueno aff
Yingxia Cao, Xiaofan Li, Amy Jiang, Bai Kang

Bibliographic record

VenueInternational Journal of Higher Education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsInternationalizationPerspective (graphical)PedagogyPsychologyInternational educationPopulationMedical educationPolitical scienceHigher educationSociologyMedicineBusiness

Abstract

fetched live from OpenAlex

The population of international students continues to grow in the U.S. colleges and universities against the backdrop of internationalization, so do the studies on their academic and social experience as well as predicaments and concerns. However, most of the research has approached these issues from the perspectives of institutions and students, while little has focused on a critical player who guides and helps such experience – faculty. Hence, from the faculty’s perspective, this research study analyzed quantitative responses from a questionnaire on internationalization and international students from 471 faculty members in two universities. Findings of this study revealed that a) faculty’s attitudes toward internationalization and international students have significant effect on their teaching practices with international students; b) the adjustment of their teaching practices is conducive to the academic performance of international students; and c) students’ enhanced learning outcomes, in turn, can raise the level of faculty satisfaction in teaching international students and their engagement in the internationalization initiative.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.038
GPT teacher head0.427
Teacher spread0.389 · 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 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

Citations20
Published2014
Admission routes1
Has abstractyes

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