Topics

  The development of advanced information technologies has opened up new opportunities in the area of computer supported learning environments. A key aspect of this work lies within the fact that students can access learning material at any time and any places. As a result of such convenience, a wide range of people have begun using computer supported learning environments for supporting instruction. Thus, it is important to ensure that such environments can accommodate diverse students’ needs.

   To address this issue, it is necessary to incorporate personalization into the development of computer supported learning environments. Personalization is acknowledged as a useful approach to enhance the usefulness of computer supported learning environments. It can help students with different characteristics, backgrounds and needs to get different types of content presentation and navigation support. In this context, a deep understanding of personalization is essential for the development of computer supported learning environments.

  While acknowledging the essentiality of personalization, the importance of incorporating an element of collaboration has become prevalent in educational settings. Thus, issues on how to incorporate personalized learning and collaborative learning to create optimal learning space and experience for involved learners are the focus of this workshop. In summary, this proposed workshop addresses two core aspects in computer supported learning environments—personalization and collaboration. The workshop provides opportunities for the cross-fertilization of knowledge and ideas from researchers in the many fields that make up this interdisciplinary research area. We hope that the implications of findings of each work presented in this workshop can be used to improve the development of Computer-Supported Personalized and Collaborative Learning environments.

   The topics discussed in this workshop will cover a wide range of topics on the captioned workshop. In particular, topics of interest may focus on, but are not restricted to:

  • Collaborative mobile learning
  • Collaborative online game-based learning
  • Emerging technologies supporting collaborative learning in online space
  • Group composition and group dynamics in computer-supported collaborative learning
  • Human factors
  • Individual trait and ergonomics
  • Learning analytics for understanding computer-supported personalized and collaborative learning
  • One-to-one tutoring
  • Personalized game-based learning
  • Personalized mobile learning
  • Self-directed learning
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