Deadline extended for workshop on context-aware recommendation for learning

The development and proliferation of Web 2.0 technologies has impacted the way users retrieve and use information and the way they interact with each other. Web-based communities, wikis, blogs and social networks are some of the applications that have emerged in recent years. An important feature of Web 2.0 applications is that they experience an exponential growth of both users and content, leading to potentially viral social networking, collaboration, communication and knowledge sharing opportunities. This is especially true for professional individuals and communities which rely on rapid distribution of novel, innovative knowledge and learning content.

With the explosion of available content and applications on the Web, recommender systems have become crucial to assist learners in finding relevant content as well as tools. There has been much research done in the area of recommender systems over the past decade. Most of this research focuses on recommending content to users and vice versa, through collaborative filtering, content-based approaches or a combination of both. The goal of this workshop is to explore recommendation for learning – with specific focus on recommendation based on contextual information of the learner. In this context, new challenges emerge for understanding and capturing the context of the learner and exploiting such contextual information for creating intelligent recommendations and combinations of Web 2.0 applications, content and semantic structures. Examples include personalized learning environments that recommend and combine content and functionalities from various web sources, adapted to the needs and context of the learner…

[Workshop Description]

The deadline for submissions has been extended to September 7., 2009. This workshop is part of the second Alpine Rendez-Vous, November 30 – December 3, 2009, Garmisch-Partenkirchen, Germany.