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
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?
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
- Context-aware design
to support Learning Design;
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,
- 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.
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.