Title: From smart testing to smart learning: how testing technology can assist the new generation of education

Authors: Susu Zhang; Hua-Hua Chang

Addresses: University of Illinois at Urbana-Champaign, 603 E Daniel St., Champaign, IL, 61820, USA ' University of Illinois at Urbana-Champaign, 603 E Daniel St., Champaign, IL, 61820, USA; East China Normal University, 3663 North Zhongshan Road, Shanghai, 200062, China

Abstract: This paper provides a brief overview of the theories and research in modern measurement and test theory, also known as smart testing, and further discusses how smart testing relates to the concepts and practices in smart learning. An introduction to smart learning and some of the challenges it is facing will be provided, followed by an introductory survey to a selected few topics in psychometrics, such as item response theory, computerised adaptive testing, large-scale assessments, cognitive diagnosis, and linking, etc. A couple of models regarding the implications of smart testing theories and techniques in smart education will then be proposed, together with the descriptions of some of the ongoing projects combining the two, as well as a discussion on potential future research directions.

Keywords: computerised adaptive testing; CAT; cognitive diagnosis; personalising online learning; mobile learning; m-learning; smart testing; smart learning; massive online open courses; MOOCs; e-learning; electronic learning; personalisation; educational technology; psychometrics; item response theory; large-scale assessments; cognitive diagnosis; linking; smart education.

DOI: 10.1504/IJSMARTTL.2016.078162

International Journal of Smart Technology and Learning, 2016 Vol.1 No.1, pp.67 - 92

Received: 22 Jun 2015
Accepted: 26 Jun 2015

Published online: 05 Aug 2016 *

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