Workshop Themes and Topics

Technology enhanced learning, to be fully effective, requires a synthesis of insights from the learning sciences and Computer Science, in particular AI. Broadly speaking, the learning sciences provide deep insights into the learning design domain, while computing and particularly AI-based approaches provide formal representations, reasoning mechanisms and data structures that enable those insights to be captured in a precise and computationally executable form. There is a double challenge here, which is at the heart of a successful synthesis.

This half-day Workshop aims to bring together education, HCI and AI experts to discuss and share ideas about the 21st century view on learning design, curriculum and AI-based technology to support the content design, creation, sharing, re-use, modification and learning that may occur when teaching. Contributions will include theoretical and applied research, and preliminary results on the following themes:

  • Creative Interfaces for creative Learning Design: Needs of the user and communities, barriers of use, usability and support through intelligent interfaces. How can research in HCI and intelligent user interfaces be used to facilitate the process of Learning Design? How can interaction analysis be used to improve Learning Design?
  • Human factor drivers for personalising the Learning Design experience: Personalisation, re-use, sharing designs from theory to practice to community. What are the human factors that influence the process of Learning Design? What community concepts can be exploited to enable creative Learning Design? What can AI do to capture and represent human factor considerations, patterns of behaviour and community knowledge for Learning Design? What AI-based knowledge representation and inference mechanisms are needed in personalised Learning Design tools? Can these AI-based mechanisms help to overcome the cognitive demands when using these tools?

Workshop Topics

Full and short papers that address one or more of the following topics are welcome

  • User experiences when designing a course using existing tools and identification of their limitations;
  • Context-aware design to support Learning Design;
  • Context-awareness as a design approach to aid building e-learning design tools; Can next generation AI reduce cognitive overload to enhance the usability?
  • User-centred design models for Learning Designs (user models, preferences, usage models, personalisation);
  • Human factors experience from the “Learner Designer perspective”, e.g. users approach to design, users tool preferences, priorities, re-use of designs;
  • HCI design to overcome barriers of use;
  • Recommendation systems and personalisation for Learning Design: designing rule of thumb or heuristics, inference on ontological models, inference theory and architecture, nearest neighbour for “concept” recommendation; Can they help with tool usage? How can pedagogical approaches be used in Learning Design to personalise the learning experience?
  • Drawing from research and experience from other applications to see how Education tools might benefit from AI.
  • Community-based and collaborative approaches.  Does a community or collaborative approach ease the learning design task?
  • Intelligent interfaces to aid the creative process of Learning Design;
  • User modelling to assist Learning Design tools to enhance personalisation features.