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

Authors:
Tobias Ley;Barbara Kump;Antonia Maas;Neil Maiden;Dietrich Albert
Affiliations:
Know-Center, Graz, Austria 8010 and Cognitive Science Section, University of Graz, Graz, Austria 8010;Knowledge Management Institute, Graz University of Technology, Graz, Austria 8010;Cognitive Science Section, University of Graz, Graz, Austria 8010;Centre for HCI Design, City University London, London, United Kingdom EC1V 0HB;Cognitive Science Section, University of Graz, Graz, Austria 8010
Venue:
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Year:
2009

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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.