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Record W2726386077

Developing Global-Ready Graduates: The CANEU-COOP Experience.

2016· article· en· W2726386077 on OpenAlexaboutno aff
Norah McRae, Karima Ramji, Linghong Lu, Mary Lesperance

Bibliographic record

VenueAsia-Pacific journal of cooperative education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsGraduation (instrument)Study abroadCurriculumPedagogyWork (physics)Cultural intelligenceInternational educationPolitical scienceMedical educationPsychologyGlobal educationPublic relationsHigher educationEngineeringMedicineSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Post-secondary institutions spend considerable resources on programs, such as study abroad and international workintegrated learning, which involve students' participation in international experiences. One significant impetus for these programs is the hope that through exposing students to international settings these students will be better prepared to be successful in global workplaces upon graduation, in essence be more 'global-ready'. However, simply having an international experience does not necessarily lead to the development of capabilities that result in global workplace success. In addition to the knowledge, skills and abilities required for any workplace, being successful in these global workplaces also requires intercultural effectiveness. This paper presents the findings of a study that examined the development of cultural intelligence (CQ), the ability to be effective in intercultural encounters, in students participating in a Canadian-European exchange program (CANEU-COOP) where the European students had a study term in Canada and the Canadian students had a co-op work term in Europe. The study found that while both groups of students developed CQ, there were differences between the groups. These findings reaffirm the importance of intentionally structuring international experiences to include curriculum about and assessment of intercultural effectiveness.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score0.454

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.057
GPT teacher head0.384
Teacher spread0.328 · 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 designQualitative
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

Citations16
Published2016
Admission routes1
Has abstractyes

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