Web-based education for all: a tool for development adaptive courseware
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Case-Based User Profiling for Content Personalisation
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Developing Adaptive Internet Based Courses with the Authoring System NetCoach
Revised Papers from the nternational Workshops OHS-7, SC-3, and AH-3 on Hypermedia: Openness, Structural Awareness, and Adaptivity
Dynamic conceptual network mechanism for a web-based authoring system
HSI'03 Proceedings of the 2nd international conference on Human.society@internet
Media-based presentation with personalization in a web-based elearning system
ASIAN'05 Proceedings of the 10th Asian Computing Science conference on Advances in computer science: data management on the web
Technology supports for distributed and collaborative learning over the internet
ACM Transactions on Internet Technology (TOIT)
Assessing the learners' motivation in the E-Learning environments for programming education
ICWL'07 Proceedings of the 6th international conference on Advances in web based learning
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With the ability to connect people and information around the world, the Internet is already having a significant impact on the traditional education. Nowadays, students can easily access the online course materials anytime anywhere. As a coin has two sides, Internet also amplifies the complexity of the course materials development and their provisioning. Since the learning initiative is taken by a student in the e-learning environment, traditional teacher-driven learning model is no longer applicable. Thus, student-centered course materials which are prepared based on individual student’s learning expectation and individual academic background become critical. In this paper, we introduce a model for personalized course material generation through 1) student ability test based on Item Response Theory, 2) a Dynamic Conceptual Network for course materials management, and 3) intelligent knowledge base facilities, such as personal profiles, to help understand students’ behaviors so as to materialize the concept of personalization.