Reusable Online Learning Resources: Problems, Solutions and Opportunities
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Designing Support to Participation in Communities of Practice through Recommender Systems
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
On a Hybrid Rule Based Recommender System
CIT '05 Proceedings of the The Fifth International Conference on Computer and Information Technology
Semantic Approach for e-learning System
IMSCCS '06 Proceedings of the First International Multi-Symposiums on Computer and Computational Sciences - Volume 2 (IMSCCS'06) - Volume 02
An attribute-based ant colony system for adaptive learning object recommendation
Expert Systems with Applications: An International Journal
Advances in Engineering Software
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In recent years, Recommender System's models and techniques, have been applied in e-Learning and main efforts are been centered in learners, their guide and their success when using Learning Management Systems and other Web-based and virtual artifacts. Several techniques were adapted or even developed for this purposes. Our current project is concerned to the need to develop a Recommender System Architecture that may assist teachers in their e-Learning design practices. Instructional Design Methods, Learning Theories, Efficient Searching Methods and Tools and Meta-data Managing, are examples of the necessary knowledge and abilities. In this document we are centered in presenting the overall system architecture and describing their main parts. We are also reporting actual results. Due to it's wide conception, this project involves Knowledge Engineering, Software Engineering, Machine Learning, Semantic Web Searching, and Data Mining models and tools.