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Enregistrement W4360945133 · doi:10.1111/aepr.12428

Comment on “Transforming Malaysia's Higher Education: Policies and Progress”

2023· article· en· W4360945133 sur OpenAlexaboutno aff
Cassey Lee

Notice bibliographique

RevueAsian Economic Policy Review · 2023
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueEducation and Islamic Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHigher educationAccreditationAction planEconomic growthPoliticsQuality (philosophy)Affirmative actionPolitical scienceEconomicsHuman capitalBusinessPublic economicsManagement

Résumé

récupéré en direct d'OpenAlex

Investment in education is right as regarded one of the most important strategies for social and economic development in the long term. Historically, the private and social returns to schooling are higher at the primary and secondary levels compared to the tertiary level. However, as countries become more developed and wealthier, the returns to tertiary education could exceed that of primary education (Psacharopoulos and Patrinos, 2018). As Malaysia heads towards graduating from middle-income status, human capital development is a key policy the country's Twelfth Malaysia Plan 2021–2025 (12MP, see Malaysia, 2021). For tertiary education, the goal is to improve the quality of universities. In this regard, Tham and Chong (2023) provide a timely assessment of the quality and policy challenges to improve the quality of higher education in Malaysia. A key policy challenge highlighted by Tham and Chong is how to measure the quality of higher education. As they rightly point out, the official performance indicators used such as use of selective international university rankings are clearly problematic given that the paradox of high rankings juxtaposed with under-employment of university graduates. Furthermore, they also opine that the implementation of quality assurance and accreditation systems have not ensured the quality of teaching in universities. In reflecting the challenges facing higher education in Malaysia, it is worth examining some of the key institutional and political factors as well as constraints that have shaped the trajectory of the sector in Malaysia. These include the impacts of affirmative action policies (the New Economic Policy [NEP], and its successor variants) in both student intake and faculty hiring in public universities. Ethnic (Bumiputra vs. non-Bumiputra and regional [Peninsular vs. Sabah and Sarawak]) dimensions continue to be emphasized in the 12MP. In addition, the effects of the use of Bahasa Malaysia (Malay language) as the medium of instruction at all levels of education continue to be debated. In the past, this language requirement in teaching had also limited opportunities for hiring foreign academics. The liberalization of higher education in the 1980s was partly undertaken in response to such policies. Furthermore, the subsequent internationalization of higher education created more space for the role of market forces which mitigate some of these policies. Although the emergence and development of private higher education have invigorated higher education in Malaysia, it has created a dualistic system that raises issues related in inequality. The issues of quality and inequality are intertwined. More studies are needed on the quality gap between public and private higher education in Malaysia and the extent to which it has exacerbated inequality. This has also implications of social cohesion. Needless to say, the quality of higher education in Malaysia greatly depends on the quality of primary and secondary students. The performance of Malaysian students (15 years old) in the Programme for International Student Assessment (PISA) tests indicate that their performance is lower than expected given its income level (World Bank, 2019). Any assessment of the quality of higher education outputs will need to consider the quality of the student intake (ex-ante). Thus, the transformation of higher education will require reforms of primary and secondary education as a necessary pre-condition. Finally, any assessment of the quality of higher education needs to consider whether universities are producing graduates and research that meet industry needs. The phenomenon of unemployment and underemployment amongst domestic graduates suggests this is a serious problem. In upgrading the pool of skilled workers in Malaysia, the Malaysian government should also re-examine the potential benefit of facilitating the absorption of skilled foreign students educated in Malaysian universities. This would be part of a required re-orientation of the country's labor policies which are currently in favor of importing relatively low-skilled workers. Such policies also need to address the long-term structural changes in the Malaysian economy in terms of the rise of services, the relative decline of the manufacturing sector, global value chain participation, and the digital transformation. These and other issues need to be addressed for another reason—tackling the brain drain problem that involves the emigration of skilled Malaysian workers to more developed economies such as Singapore, Australia, Canada, the United Kingdom, and the United States.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,753
Score d'incertitude au seuil0,975

Scores Codex et Gemma par catégorie

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

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 Opus0,053
Tête enseignante GPT0,401
Écart entre enseignants0,348 · 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 tête enseignante, pas un consensus.

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

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

En bref

Citations2
Publié2023
Routes d'admission1
Résumé présentoui

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