Evaluating the Adaptation of a Learning System before the Prototype Is Ready: A Paper-Based Lab Study

  • Tobias Ley
  • Barbara Kump
  • Antonia Maas
  • Neil Maiden
  • Dietrich Albert
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5535)

Abstract

We report on results of a paper-based lab study that used information on task performance, self appraisal and personal learning need assessment to validate the adaptation mechanisms for a work-integrated learning system. We discuss the results in the wider context of the evaluation of adaptive systems where the validation methods we used can be transferred to a work-based setting to iteratively refine adaptation mechanisms and improve model validity.

Keywords

Adaptive Learning Systems Evaluation Task-based Competency Assessment Learning Need Analysis Knowledge Space Theory 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Tobias Ley
    • 1
    • 2
  • Barbara Kump
    • 3
  • Antonia Maas
    • 2
  • Neil Maiden
    • 4
  • Dietrich Albert
    • 2
  1. 1.Know-CenterGrazAustria
  2. 2.Cognitive Science SectionUniversity of GrazGrazAustria
  3. 3.Knowledge Management InstituteGraz University of TechnologyGrazAustria
  4. 4.Centre for HCI DesignCity University LondonLondonUnited Kingdom

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