ADALEInternational 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

• 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