UM 2003: User Modeling 2003 pp 423-425 | Cite as

Facilitating the Comprehension of Online Learning Courses with Adaptivity

  • Stefan Lippitsch
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2702)

Abstract

Knowledge acquisition with texts is assumed to be a process of building a mental model of the specific subject. For readers with more prior knowledge, the building of an accurate mental model is easier because they do not have to establish a new structure. Readers with less or no prior knowledge might build an inadequate mental model of a subject. In a hypertext learning environment this could be prevented by several adaptive features that support the user with additional information. We plan to examine the effectiveness and efficiency of such adaptive features within an online course by assessing the user’s acquired domain knowledge, the user’s satisfaction, and achievement of the user’s objectives.

Keywords

Mental Model Online Learn Adaptive Feature Novice User Coherence Feature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Weber, G., Kuhl, H.-C., & Weibelzahl, S. (2001). Developing adaptive internet based courses with the authoring system NetCoach. In S. Reich, M. Tzagarakis, & P. de Bra (Eds.), Hypermedia: Openness, Structural Awareness, and Adaptivity (pp. 226–238) (Lecture Notes in Computer Science LNAI 2266). Berlin: Springer.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Stefan Lippitsch
    • 1
  1. 1.University of EducationFreiburgGermany

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