Publication: A majority density approach for developing testing and diagnostic systems
Issued Date
2011-09-29
Resource Type
ISSN
16113349
03029743
03029743
Other identifier(s)
2-s2.0-80053165603
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Mahidol University
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SCOPUS
Bibliographic Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol.6882 LNAI, No.PART 2 (2011), 134-143
Suggested Citation
Dechawut Wanichsan, Patcharin Panjaburee, Parames Laosinchai, Sasithorn Chookaew A majority density approach for developing testing and diagnostic systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol.6882 LNAI, No.PART 2 (2011), 134-143. doi:10.1007/978-3-642-23863-5_14 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/11770
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Title
A majority density approach for developing testing and diagnostic systems
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Abstract
Recently, testing and diagnostic learning systems have been considered as a useful tool for analyzing students' learning problems and giving helpful learning suggestions to them to improve their learning performance. Among the existing methods, a multi-expert approach has introduced a set of rules to integrate test item-concept relationship opinions given by multiple experts. However, when integrating the opinions from multiple experts, there are some problems that might effect on the quality of learning suggestions for students. Furthermore, it is time consuming to reconsidering their opinion when the conflict opinion exists. Therefore, a novel majority density approach is proposed to solve the mentioned problems. The experimental results show that this method can yield more reasonable integrated opinions than the previous approach and also reduce the number of reconsidering opinions. © 2011 Springer-Verlag.