ADALE International Workshop on Adaptive Learning and Learning Design

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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

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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 gt AH a very good
  venue

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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?

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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

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ADALE Workshop Statistics
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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

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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

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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