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Coloured Petri nets: basic concepts, analysis methods and practical use, vol. 2
Coloured Petri nets: basic concepts, analysis methods and practical use, vol. 2
Journal of Educational Multimedia and Hypermedia
ACM Computing Surveys (CSUR)
From adaptive hypermedia to the adaptive web
Communications of the ACM - The Adaptive Web
Petri Net Theory and the Modeling of Systems
Petri Net Theory and the Modeling of Systems
A conceptual map model for developing intelligent tutoring systems
Computers & Education
Intelligent Hybrid System for a Training and Teaching Environment
ICCIMA '99 Proceedings of the 3rd International Conference on Computational Intelligence and Multimedia Applications
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
SmartTutor: an intelligent tutoring system in web-based adult education
Journal of Systems and Software
Modeling Behavioral Patterns of Concurrent Software Architectures Using Petri Nets
WICSA '04 Proceedings of the Fourth Working IEEE/IFIP Conference on Software Architecture
Modeling Browsing Behavior at Multiple Websites
Marketing Science
Automatic cognitive style identification of digital library users for personalization
Journal of the American Society for Information Science and Technology
Information Sciences: an International Journal
Standardized course generation process using Dynamic Fuzzy Petri Nets
Expert Systems with Applications: An International Journal
A Prediction Mechanism of Adaptive Learning Content in the Scalable E-Learning Environment
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
User identification for cross-system personalisation
Information Sciences: an International Journal
Learning and inferencing in user ontology for personalized Semantic Web search
Information Sciences: an International Journal
A learning style classification mechanism for e-learning
Computers & Education
Constructing SCORM compliant course based on High-Level Petri Nets
Computer Standards & Interfaces
Analyzing permutation capability of multistage interconnection networks with colored Petri nets
Information Sciences: an International Journal
Behavioral Petri nets: a model for diagnostic knowledge representation and reasoning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A self-adjusting e-course generation process for personalized learning
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Checking system boundedness using ordinary differential equations
Information Sciences: an International Journal
Multiset topologies induced by multiset relations
Information Sciences: an International Journal
Analysis of the Petri net model of parallel manufacturing processes with shared resources
Information Sciences: an International Journal
Behavioral modeling with the new bio-inspired coordination generalized molecule model algorithm
Information Sciences: an International Journal
Personlized English reading sequencing based on learning portfolio analysis
Information Sciences: an International Journal
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This paper proposes the learning behavioral Petri nets (LBPN) to model learning behavior in web-based environments. Fully useful records of learning behaviors must contain their expended time and corresponding contents. Therefore, the LBPN extends the colored tokens of colored Petri nets to identify learners and learning contents, and raises the time variable to represent diverse learning times for individual learners. To verify the viability of the LBPN, this paper also proposes a LBPN-based learning behavioral model to simulate a situation in which many learners participate in an e-learning course, and then to generate their behavioral patterns. The experimental results illustrated in this paper confirm that (1) the generated behavioral pattern based on the LBPN-based model is very close to actual data, (2) the time and cost spent to verify the effectiveness of an ITS is substantially reduced, (3) adequate testing data for estimating the performance and accuracy of an ITS is easily acquired, and (4) the LBPN-based model can be built to recommend appropriate learning contents and to accomplish adaptive learning.