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Record W3209451183 · doi:10.1080/03057925.2021.1995699

Internationalisation of the curriculum in Vietnamese higher education: mediating between ‘Western’ and local imaginaries

2021· article· en· W3209451183 on OpenAlexaboutno aff
Hương Thu Nguyễn, Huong Le Thanh Phan, Lý Thị Trần

Bibliographic record

VenueCompare A Journal of Comparative and International Education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsVietnameseCurriculumInternationalizationContext (archaeology)Political scienceLeagueIdeologySociologyPedagogyPublic relationsBusinessGeographyPolitics

Abstract

fetched live from OpenAlex

Over the past decades, the Vietnamese government has strategically encouraged the import of the ‘Western’ curriculum through the so-called Advanced Programmes. It is envisioned that by learning from the more advanced systems such as Australia, Canada, the US, and the UK, Vietnamese universities will be able to overhaul their outdated curriculum and embark on a shortcut to the league of global rankings. Drawing on 21 interviews with Vietnamese and foreign staff and students in two Advanced Programmes imported from the US, this article reviews these programmes’ twelve-year implementation to explore the challenges arising and the roles of local academics in implementing and mediating the curriculum. The research revealed considerable challenges in imparting ‘Western’ knowledge to the local context due to ideological and practicality differences. However, it is the process through which academics mediated between the international content and local students’ needs that enables practical internationalisation of the imported curriculum.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.412

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 science0.0000.000
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 head0.053
GPT teacher head0.407
Teacher spread0.354 · 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

Citations13
Published2021
Admission routes1
Has abstractyes

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