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
Resource Type
Language
eng
ISSN
0957-4174
Rights
Mahidol University
Rights Holder(s)
Elsevier Ltd.
Bibliographic Citation
Expert Systems with Applications. Vol.39, (2012), 8380-8388
Suggested Citation
Dechawut Wanichsan, Patcharin Panjaburee, พัชรินทร์ ปัญจบุรี, Parames Laosinchai, ปรเมศวร์ เหล่าสินชัย, 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, (2012), 8380-8388. doi:10.1016/j.eswa.2012.01.182 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/3386
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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
Abstract
In the recent years, diagnosing students’ learning problems after testing and providing learning sugges-
tions 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.
Sponsorship
This work was supported in part by the Mahidol University (MU) research fund.