Constructing membership functions using statistical data
Fuzzy Sets and Systems
Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems
Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems
Feedback and Analysis from Assessment Metadata in E-Learning
AINA '03 Proceedings of the 17th International Conference on Advanced Information Networking and Applications
A Cognition Assessment Authoring System for E-Learning
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
A Personalized Courseware Recommendation System Based on Fuzzy Item Response Theory
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
Multiple choice questions not considered harmful
ACE '05 Proceedings of the 7th Australasian conference on Computing education - Volume 42
Design and evaluation of an XML-based platform-independent computerized adaptive testing system
IEEE Transactions on Education
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In e-testing it is important to administer tests composed of good quality question items. By the term "quality" we intend the potential of an item in effectively discriminating between strong and weak students and in obtaining tutor's desired difficulty level. Since preparing items is a difficult and time-consuming task, good items can be re-used for future tests. Among items with lower performances, instead, some should be discarded, while some can be modified and then re-used. This paper presents a Web-based e-testing system which detects defective question items and, when possible, provides the tutors with advice to improve their quality. The system detects defective items by firing rules. Rules are evaluated by a fuzzy logic inference engine. The proposed system has been used in a course at the University of Salerno.