Abstract
In this work it’s presented the description of a Recommender Systems to be used in a learning environment. For this, it’s defined the diverse recommendation methods that can be used: Content-based Recommendations, Collaboration recommendations and Hybrid Systems. It is proposed a Teaching agent design for obtaining the most appropriate learning objects based on Multiagent Systems framework composed of a Planning Agent, a Recommendation System and a Learning Object Management System; all of them collaborating on an intelligent platform. This design can be used in intelligent classrooms because it can adapt the environment and the teaching contents according to the needs of each student.
Original language | English |
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Title of host publication | Proceedings of the International Conference on Information Technology and Systems, ICITS 2018 |
Editors | Alvaro Rocha, Teresa Guarda |
Publisher | Springer Verlag |
Pages | 973-982 |
Number of pages | 10 |
ISBN (Print) | 9783319734491 |
DOIs | |
State | Published - 2018 |
Event | International Conference on Information Technology and Systems, ICITS18 - Libertad city, Ecuador Duration: 11 Jan 2017 → 13 Jan 2017 |
Publication series
Name | Advances in Intelligent Systems and Computing |
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Volume | 721 |
ISSN (Print) | 2194-5357 |
Conference
Conference | International Conference on Information Technology and Systems, ICITS18 |
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Country/Territory | Ecuador |
City | Libertad city |
Period | 11/01/17 → 13/01/17 |
Bibliographical note
Publisher Copyright:© Springer International Publishing AG 2018.
Keywords
- Intelligent classrooms
- Learning environments
- Learning objects
- Multiagent systems
- Recommender system