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| Workshop Information and Call for papers | Accepted Papers | Workshop Schedule |
AI in Computer supported collaborative learning (CSCL) is an emerging paradigm for research in educational technology that integrates information, communication, and mediating technologies to support groups of learners that work together to achieve common goals.
Supporting group learning requires an understanding of the collaborative learning process, which is shaped not only by the individual's ability, learning style, and motivation, but also the group members' individual behaviors, and the dynamics of their interaction. Although CSCL research area can benefit from the lessons learned in similar AI application areas (such as intelligent tutoring systems), the collaborative environment increases the complexity of the environment by generating a significant amount of rich additional information concerning the joint work between students and their relationships. The new information to be represented in the models for collaborative environments includes information about the users, the group and the collaboration and relationships between users.
The goal of this workshop is to show how Artificial Intelligence techniques, such as machine learning, planning or multi-agent approaches, can facilitate the representation, learning and inference of knowledge about the collaborative process, allowing the modeling and understanding of the outcomes.
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