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Advances in Semantic Media Adaptation and Personalization pp 177–198Cite as

Improving the Adaptiveness of an e-Learning System

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 93))

Summary

Education of health-related professions such as medicine, nursing, dentistry, pharmacy, etc. represents a major category of adult training. Cognitive flexibility theory which emphasizes a case study based approach involving context-dependent and realistic situations applies directly to health care education. COFALE is an adaptive e-learning environment supporting cognitive flexibility. In this chapter, we present EX-COFALE, an extension to COFALE. COFALE, although offers facilities for adaptive content presentation, adaptive use of pedagogical devices and adaptive communication, it lacks facilities for adaptive student assessment. EX-COFALE remedies this deficiency of COFALE by allowing for automated test creation and assessment based on the students’ knowledge information. To this end, COFALE has been modified to allow for representation of associations between test questions and learning concepts. Also, assessment is made at two levels, the concept and the goal level, taking into account the difficulty level of the questions. To achieve the above, a rule-based intelligent component is used. To evaluate EX-COFALE, we implemented a course concerning fundamental aspects of radiation protection, which was used by a number of students in a nursing department and evaluated for usability of the e-learning system and educational content administration. The results are quite promising.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering and Informatics, School of Engineering, University of Patras, Greece

    Ioannis Hatzilygeroudis & Nikolaos Papachristou

  2. Departmen of Nursing, School of Health Sciences, Higher Technological Educational Institute of Patras, Greece

    Constantinos Koutsojannis

Authors
  1. Ioannis Hatzilygeroudis
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  2. Constantinos Koutsojannis
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  3. Nikolaos Papachristou
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, University of Peloponnese, Terma Karaiskaki, 22 100, Tripoli, Greece

    Manolis Wallace

  2. School of Information Systems, Computing and Mathematics, Brunel University, Uxbridge, Middlesex, UB8 3PH, UK

    Marios C. Angelides

  3. Image, Video and Multimedia Laboratory Department of Electrical and Computer Engineering School of Electrical Engineering, National Technical University of Athens Iroon Ploytechneioy 9, 157 80, Zographoy Campus, Athens, Greece

    Phivos Mylonas

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Hatzilygeroudis, I., Koutsojannis, C., Papachristou, N. (2008). Improving the Adaptiveness of an e-Learning System. In: Wallace, M., Angelides, M.C., Mylonas, P. (eds) Advances in Semantic Media Adaptation and Personalization. Studies in Computational Intelligence, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76361_9

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  • DOI: https://doi.org/10.1007/978-3-540-76361_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76359-8

  • Online ISBN: 978-3-540-76361-1

  • eBook Packages: EngineeringEngineering (R0)

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