Abstract
In the present work, we present a Fuzzy Neural System Model for online identification of Learning Styles which gives support for contents personalization. The model was developed to serve as a component for an Adaptive Hybrid E-Learning System Architecture, which focus on a high degree of customization and content adaptation. We proposal a Hybrid System model, in which techniques of Neural Networks, Fuzzy Logic and Case Based Reasoning are incorporated into the multiagent system. Finally, the authors present the architecture of the Fuzzy Neural System model, the results of the analysis of the model validation tests establishing conclusions and recommendations.
Original language | English |
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Title of host publication | 16th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology |
Subtitle of host publication | Innovation, Education, and Inclusion |
Publisher | Latin American and Caribbean Consortium of Engineering Institutions |
ISBN (Electronic) | 9780999344316 |
DOIs | |
State | Published - 2018 |
Event | 16th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology - Lima, Peru Duration: 18 Jul 2018 → 20 Jul 2018 |
Publication series
Name | Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology |
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Volume | 2018-July |
ISSN (Electronic) | 2414-6390 |
Conference
Conference | 16th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology |
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Country/Territory | Peru |
City | Lima |
Period | 18/07/18 → 20/07/18 |
Bibliographical note
Publisher Copyright:© 2018 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
Keywords
- Adaptive Systems
- Artificial Neural Networks
- E-Learning
- Fuzzy Logic
- Fuzzy Neural Systems
- Hybrid architecture
- Multiagent Systems