An Intelligent Teaching Assistant System for Logic
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
A Conceptual Framework for Web-Based Intelligent Learning Environments Using SCORM-2004
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
A Web-Based Education System for Predicate Logic
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Jess in action: rule-based systems in java
Jess in action: rule-based systems in java
Adaptive and Intelligent Web-based Educational Systems
International Journal of Artificial Intelligence in Education
An analysis of the research on adaptive learning: the next generation of e-learning
WSEAS Transactions on Information Science and Applications
Using a Neurofuzzy Approach in a Medical Application
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
FUNEUS: A Neurofuzzy Approach Based on Fuzzy Adaline Neurons
Proceedings of the 2006 conference on STAIRS 2006: Proceedings of the Third Starting AI Researchers' Symposium
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In this paper, we present a web-based intelligent education system to help students in the context of an AI course. We concentrate on the adaptivity and student evaluation aspects of the system. Adaptivity refers to the capability of the system to adapt teaching to student needs, specified by the student model characteristics. Student evaluation refers to the evaluation of the knowledge level of a student, which is one of the most important characteristics, with regards to taught concepts. Adaptive hypermedia techniques, like graphical link annotation, and an intelligent technique, i.e. a rule-based expert system, are used to achieve the above goals. An evaluation of the system showed encouraging results as far as its usability and learning are concerned.