Publication:
A majority-density approach to developing testing and diagnostic systems with the cooperation of multiple experts based on an enhanced concept-effect relationship model

Issued Date

2012-07-01

Resource Type

Article

ISSN

09574174

DOI

10.1016/j.eswa.2012.01.182

Other identifier(s)

2-s2.0-84858339083

Rights

Mahidol University

Rights Holder(s)

SCOPUS

Bibliographic Citation

Expert Systems with Applications. Vol.39, No.9 (2012), 8380-8388

Suggested Citation

Dechawut Wanichsan, Patcharin Panjaburee, Parames Laosinchai, Wannapong Triampo, Sasithorn Chookaew A majority-density approach to developing testing and diagnostic systems with the cooperation of multiple experts based on an enhanced concept-effect relationship model. Expert Systems with Applications. Vol.39, No.9 (2012), 8380-8388. doi:10.1016/j.eswa.2012.01.182 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/14046

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Title

A majority-density approach to developing testing and diagnostic systems with the cooperation of multiple experts based on an enhanced concept-effect relationship model

Author(s)

Dechawut Wanichsan
 Patcharin Panjaburee
 Parames Laosinchai
 Wannapong Triampo
 Sasithorn Chookaew

Other Contributor(s)

Mahidol University

Abstract

In the recent years, diagnosing students' learning problems after testing and providing learning suggestions for them are an important research issue. Many studies have been conducted to develop a method for analyzing learning barriers of students such that helpful learning suggestions or guidance can be provided based on the analysis results. In this paper, we present a new procedure for integrating test item-concept relationship opinions based on majority density of multiple experts in order to enhance a concept-effect relationship model used for generating personalized feedback. It provides a useful and practical way to decrease inconsistencies in the weighting criteria of multiple experts and to enhance the entire learning-diagnosis procedure for developing testing and diagnostic systems. © 2012 Elsevier Ltd. All rights reserved.

Keyword(s)

Computer Science
 Engineering

Availability

URI

https://repository.li.mahidol.ac.th/handle/20.500.14594/14046

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Scopus 2011-2015