INSPIRE: An INtelligent System for Personalized Instruction in a Remote Environment
Revised Papers from the nternational Workshops OHS-7, SC-3, and AH-3 on Hypermedia: Openness, Structural Awareness, and Adaptivity
Advanced Methods for Inconsistent Knowledge Management (Advanced Information and Knowledge Processing)
Adaptive and Intelligent Web-based Educational Systems
International Journal of Artificial Intelligence in Education
A Conception for Modification of Learning Scenario in an Intelligent E-learning System
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
A method for learning scenario determination and modification in intelligent tutoring systems
International Journal of Applied Mathematics and Computer Science - Semantic Knowledge Engineering
Evaluating the effectiveness of intelligent tutoring system offering personalized learning scenario
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
A method for determination of an opening learning scenario in intelligent tutoring systems
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
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The main purpose of intelligent tutoring systems is to guarantee an effective learning and offer the optimal learning path for each student. Therefore, determination of learning scenario is a very important task in a learning process. After a new student is registered in the system, he is classified to the appropriate group. Before he begins to learn an opening scenario is determined based on final scenarios of students who belong to the class of learners similar to the new one. The new student is offered the optimal learning path suitable for his preferences, learning styles and personal features. In this paper new knowledge structure, which involves version of lessons, is proposed. For the defined knowledge structure definitions of learning scenario, distance function and the procedure of the scenario determination are presented.