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Technology Enhanced Knowledge Research Institute (TEKRI)

Adaptive Systems

Research Topic Overview:
Research in technological advances in adaptivity and personalization at Athabasca University aims to advance research on the innovative paradigms, architectures and implementations of wireless applications and systems for individualised and adaptive learning. To bridge the gap among different types of wireless devices and users, the research is targeted to provide advanced infrastructure features for mobile users in formal, informal and non-formal learning environments with multi-criteria adaptation. With respect to these issues, the research dimensions include: 

  • Wireless content delivery systems;
  • Intelligent agents and emerging technologies;
  • Learning objects and granularity;
  • Reusability, repurposing, and standardisation;
  • Knowledge management;
  • Conceptual models for mobile learning;
  • Formalisation of the learning experience;
  • Adaptation using mobile devices
    • Content dimension (actual scenario and knowledge base);
    • User dimension (personal attributes, user model and cognitive traits);
    • Device capability dimension (presentation and operational capabilities);
    • Connectivity dimension (real-time, pre-fetching and offline);
    • Coordination dimension (software and algorithms for application, presentation, interactivity and navigation); and
    • Channel dimension (physical medium and bandwidth characteristics);

Researchers Involved:
Team Lead: Dr. Vive Kumar (
Research Members:
Dr. Maiga Chang (
Dr. Sabine Graf (
Dr. Oscar Lin (
Dr. Qing Tan (
Dr. Dunwei Wen (
This work is licensed under a Creative Commons Attribution 4.0 International License