Transcript ADALE International Workshop on Adaptive Learning and Learning Design Peter Dolog, Milos Kravcik, Daniel Burgos, Marcus Specht, David Griffiths, Pythagoras Karampiperis, Ambjörn Naeve http://www.fit.fraunhofer.de/~kravcik/ADALE.html.

ADALE
International Workshop on
Adaptive Learning and Learning Design
Peter Dolog, Milos Kravcik,
Daniel Burgos, Marcus Specht,
David Griffiths, Pythagoras Karampiperis,
Ambjörn Naeve
http://www.fit.fraunhofer.de/~kravcik/ADALE.html
Workshop Aim
• Several large intrernational projects
dealing with Learning Design
• Bringing people together
• Face the results of the community with
people external to the projects
• Interaction between learning,
personalization and computer science
researches => AH a very good venue
Questions
• How to support interoperability between
workplaces, learning activities, and
learning repositories?
• How to adapt selection, access, and
guidance in such an environment?
• How to support connections between
learning activities and workplace
processes?
Workshops Themes
• Learning Design and Professional Learning
• Competency Based Approaches to Workplace
Learning
• Knowledge Management and Learning
• Business Processes and Learning Activities
• Social Relations in Workplace Learning and
Adaptation
• Adaptive Knowledge Sharing
• Learner Assessment in Learning Design and
Learning Processes
• Adaptive Learning Design
• Reusable Adaptive Patterns
ADALE Workshop Statistics
Papers submitted
11
Accepted as full papers
5
Accepted as short papers
3
Published & presented as full papers
5
Published & presented as short papers
2
Number of participants
20
Topics Addressed
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IMS LD elements supporting adaptation
Design-time vs. Run-time adaptation
Modeling of learning processes
Knowledge representation for adaptive learning
design
• Template based authoring of adaptive learning
strategies
• Adaptation based on learning standards
• Localization of multimedia for personalized
adaptive learning
Current Problems
• IMS LD can represent some adaptation methods, but
not all of them
• Specification of concrete learning design instances is
usually context dependent and does not support
reusability very well
• Representation of various types of knowledge and
their interaction to assist authors and to generate
concrete instances dynamically
• Interoperability demands – between systems &
between different models/layers
• Learning standards are not harmonized – Semantic
Web is used as mediator
• Authoring of learning design and adaptation strategies
Feedback from Discussion
• Applications/Commercial driver is needed
• Complexity of Learning Design (Profiling)
• Experiments with other methods of
instructions, areas, user groups (autism)
• Contexts and LD
• Visual representation (methaphors) and
authoring
• Patterns and best practices