Consensus system for solving conflicts in distributed systems
Information Sciences—Informatics and Computer Science: An International Journal
Incorporating Learning Characteristics into an Intelligent Tutor
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
ELM-ART: An Intelligent Tutoring System on World Wide Web
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
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
Personalised hypermedia presentation techniques for improving online customer relationships
The Knowledge Engineering Review
A RDF Description Model for Manipulating Learning Objects
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
A Conceptual View of Web-Based E-Learning Systems
Education and Information Technologies
Advanced Methods for Inconsistent Knowledge Management (Advanced Information and Knowledge Processing)
Determination of Opening Learning Scenarios in Intelligent Tutoring Systems
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
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
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
Expert Systems with Applications: An International Journal
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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Computers have been employed in education for years. They help to provide educational aids using multimedia forms such as films, pictures, interactive tasks in the learning process, automated testing, etc. In this paper, a concept of an intelligent e-learning system will be proposed. The main purpose of this system is to teach effectively by providing an optimal learning path in each step of the educational process. The determination of a suitable learning path depends on the student's preferences, learning styles, personal features, interests and knowledge state. Therefore, the system has to collect information about the student, which is done during the registration process. A user is classified into a group of students who are similar to him/her. Using information about final successful scenarios of students who belong to the same class as the new student, the system determines an opening learning scenario. The opening learning scenario is the first learning scenario proposed to a student after registering in an intelligent e-learning system. After each lesson, the system tries to evaluate the student's knowledge. If the student has a problem with achieving an assumed score in a test, this means that the opening learning scenario is not adequate for this user. In our concept, for this case an intelligent e-learning system offers a modification of the opening learning scenario using data gathered during the functioning of the system and based on a Bayesian network. In this paper, an algorithm of scenario determination (named ADOLS) and a procedure for modifying the learning scenario AMLS with auxiliary definitions are presented. Preliminary results of an experiment conducted in a prototype of the described system are also described.