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Enregistrement W2782172755 · doi:10.15678/eber.2017.050403

Education Agents as Competitiveness Enhancers of Australian Universities by Internationalisation Facilitation

2017· article· en· W2782172755 sur OpenAlexaboutno aff
Anirban Sarkar, Áron Perényi

Notice bibliographique

RevueEntrepreneurial Business and Economics Review · 2017
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueHigher Education Governance and Development
Établissements canadiensnon disponible
Organismes subventionnairesCenter for Makroøkologi, Evolution og KlimaCollege of Engineering, Michigan State UniversityMichigan State University
Mots-clésFacilitationInternationalizationBusinessTrade facilitationEnhancerPsychologyInternational tradeChemistryNeuroscienceBiochemistry

Résumé

récupéré en direct d'OpenAlex

Agent use is common across Canada's international education systems (which are defined here to mean Canada's public and private elementary, secondary, and postsecondary educational institutions over which the provinces and territories have jurisdiction).Use is concentrated in the postsecondary system and in jurisdictions that are top destinations for international students (Appendix A illustrates agent use by jurisdiction).• A notable exception is Quebec: administrators surveyed for this report reported minimal use of agents.Participants there described a very different recruitment environment and noted that they were unable to tap into the global demand for English-language instruction.Instead, some institutions promote "solidarity" or cultural exchange with other countries in la Francophonie and arrange scholarships for many international students.This philosophy is reminiscent of an earlier era in Canadian internationalization, when the emphasis was on educational opportunity as aid, not trade.• The multi-jurisdictional nature of the agent phenomenon, coupled with the competitive recruitment environment, has slowed efforts to develop regulatory frameworks in many destination countries.Not surprisingly, most efforts have involved persuading agents and jurisdictions to voluntarily comply with codes of practice and conduct.While concerns about immigration-agent misconduct initially preoccupied Canadian policy-makers, attention has pivoted to international student recruitment.Proposed new regulations at the federal and provincial/territorial levels would require educational institutions to obtain government approval in order to recruit and enrol international students.Manitoba is the first jurisdiction in Canada to have introduced regulations requiring institutions to make public which agents represent them and obliging agents to abide by a code of conduct and practice.• Most interview participants outside Quebec described agents as indispensable partners in recruitment activities.They illustrated an intensely competitive recruitment environment and suggested that agents were necessary to expanding their reach and helping them achieve a scale that would be unattainable otherwise.Institutions often use agents to compensate for the lack of name recognition overseas that might otherwise have drawn students to them.• Agent recruitment and management practices vary significantly within Canada's education systems.In most provinces and territories, educational institutions that employ agents are responsible for their oversight.Many make use of best practices and codes of conduct developed by educational organizations like the British Council and the Canadian Bureau for International Education (CBIE).Some institutions have developed robust agent-management protocols, including ongoing training opportunities and provisions for purging unproductive or non-compliant agents.Others do minimal screening and rely on complaints from students and parents or information from colleagues at other institutions.This range is interesting, given that a majority of survey respondents reported feeling confident that their agents provided accurate information.It may be that for some administrators, "no news is good news" -implying that a lack of complaints means that agents are performing well.• One hundred and forty-five respondents completed a survey that was distributed in both French and English.Most respondents from the education sector -about 78 per centreported that their institution used agents.The top countries in which agents are working to recruit students to Canadian institutions are as follows (in descending order): China, South Korea, Japan, Mexico, Saudi Arabia, Hong Kong, India, France, Brazil, Pakistan, Nigeria, the United Kingdom, and Russia.• Interviews with 12 education officials and government administrators provided additional means for data collection and offered richer detail than could be obtained through the survey alone.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,050

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0020,004
Communication savante0,0070,004
Science ouverte0,0010,004
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0100,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,025
Tête enseignante GPT0,333
Écart entre enseignants0,308 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations14
Publié2017
Routes d'admission1
Résumé présentoui

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