Special Issue on User Modeling for Web-based Learning

摘要

With the rapid development of online learning resources such as Massive Open Online Courses (MOOCs) and user-generated contents in Web 2.0 communities, user modeling techniques, having become increasingly important for web-based e-learning systems, are exploited to assist various e-learning applications (e.g., personalized search/recommendation of learning resources, identification of learning interests/styles, and facilitation of interactions between learners and instructors). Also, the design of a user model is believed to have influence on such function modules as the test module and the plan agent of users (Ciloglugil & Inceoglu, 2012). The users' learning experiences and effectiveness may therefore be affected to a large extent by user models (Kay 2008; Cook, Kay, & Kummerfeld, 2015). As learning experiences and effectiveness is a critical issue for e-learning systems, this special issue aims to provide an insight into recent advancements of user models for promoting personalized learning according to users' preferences, learning styles, background knowledge, etc.