A conceptual map model for developing intelligent tutoring systems
Computers & Education
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Development of an automatic customer service system on the internet
Electronic Commerce Research and Applications
A personalized English learning recommender system for ESL students
Expert Systems with Applications: An International Journal
A Delphi-based approach to developing expert systems with the cooperation of multiple experts
Expert Systems with Applications: An International Journal
A JESS-enabled context elicitation system for providing context-aware Web services
Expert Systems with Applications: An International Journal
A novel approach for assisting teachers in analyzing student web-searching behaviors
Computers & Education
Personalization in an interactive learning environment through a virtual character
Computers & Education
A novel resource recommendation system based on connecting to similar e-learners
ICWL'05 Proceedings of the 4th international conference on Advances in Web-Based Learning
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In a language curriculum, the training of reading ability is one of the most important aspects. Previous studies have shown the importance of assigning proper articles to individual students for training their reading ability; nevertheless, previous experience has also shown the challenges of this issue owing to the complexity of personal factors as well as the diverse properties of the candidate articles to be taken into consideration. This study proposes a knowledge engineering approach for developing reading material recommendation systems by eliciting domain knowledge from multiple experts. Experimental results on 29 senior high school students show that the developed system is able to provide expert-like recommendations to the students by taking preferences and knowledge levels of individual students as well as categories and traits of articles into consideration.