Year: 2007
Type: article
Abstract: Nowadays, personalized systems are increasingly applied in diverse fields including e-Learning. In general, Intelligent Tutoring Systems build learners’ profiles in order to give them adaptive access to information and other learning resources. Recently, some researchers propose using Collaborative Filtering as an alternative approach for personalizing information access in Intelligent Tutoring Systems. With this technique, a user receives recommendations on the basis of the evaluation of his/her community. In this paper, we present a new approach of multi-criteria communities for Collaborative Filtering in Intelligent Tutoring Systems in which criteria can be extracted from features/ characteristics in learner profiles.
Authors: Nguyen An Te, Dang The Khoa
Institution: Ho Chi Minh City University of Science
Language: Vietnamese
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W7218118019