Intelligent diagnostic feedback for online multiple-choice questions

Article

Guo, R., Palmer-Brown, D., Lee, S. and Cai, F. F. 2013. Intelligent diagnostic feedback for online multiple-choice questions. Artificial Intelligence Review. 42, p. 369–383. https://doi.org/10.1007/s10462-013-9419-6
AuthorsGuo, R., Palmer-Brown, D., Lee, S. and Cai, F. F.
Abstract

When students attempt multiple-choice questions (MCQs) they generate invaluable information which can form the basis for understanding their learning behaviours. In this research, the information is collected and automatically analysed to provide customized, diagnostic feedback to support students’ learning. This is achieved within a web-based system, incorporating the snap-drift neural network based analysis of students’ responses to MCQs. This paper presents the results of a large trial of the method and the system which demonstrates the effectiveness of the feedback in guiding students towards a better understanding of particular concepts.

JournalArtificial Intelligence Review
Journal citation42, p. 369–383
ISSN1573-7462
Year2013
PublisherSpringer
Publisher's version
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Anyone
Digital Object Identifier (DOI)https://doi.org/10.1007/s10462-013-9419-6
Publication dates
Online09 Aug 2013
Print31 Oct 2014
Publication process dates
Deposited25 Sep 2020
Copyright holder© 2013 The Authors
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