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NEXT-GENERATION ASSESSMENT SPURS SMARTER LEARNING
Author(s) -
Hamish Coates,
Fangzhou Zhang,
Liu Liu,
Juan Zhang,
Dan Zhang,
Steven Godinho
Publication year - 2021
Publication title -
journal of supranational policies of education
Language(s) - English
Resource type - Journals
ISSN - 2340-6720
DOI - 10.15366/jospoe2021.13.004
Subject(s) - underpinning , productivity , argument (complex analysis) , class (philosophy) , value (mathematics) , computer science , knowledge management , mathematics education , engineering , artificial intelligence , psychology , economics , machine learning , economic growth , biochemistry , chemistry , civil engineering
Interest in learning has grown well beyond class-based interactions between teachers and students. The value of higher learning keeps growing, spurring the need for education innovation and reform. To this end, this paper introduces the ‘smarter learning’ initiative, spotlights reforms required to achieve underpinning ‘next-generation’ forms of assessment, and articulates feasible steps ahead. The argument driving this paper is that learning is becoming more valuable, that improving learning hinges on assessment reform, and that such innovation will yield major productivity advances for higher education and broader communities.

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