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Evaluation of Learning Outcomes

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Advances in Web-Based Learning – ICWL 2010 (ICWL 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6483))

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Abstract

A lot of research has been done with respect to automated evaluation of students’ knowledge. Learning outcomes have been of serious interest to many research communities as well. In this article we apply dominance relations in rough sets approximations for assessing knowledge obtained in active learning environments.

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Author information

Authors and Affiliations

  1. Stord/Haugesund University College, Bjørnsonsg. 45, 5528, Haugesund, Norway

    Sylvia Encheva

Authors
  1. Sylvia Encheva
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Editor information

Editors and Affiliations

  1. Shanghai University, Xingjian Building, No. 149 Yanchang Road, 200072, China

    Xiangfeng Luo

  2. Department D5: Databases and Information Systems, MaxPlanck Institute for Informatics, Campus E1 4, 66123, Saarbrücken, Germany

    Marc Spaniol

  3. Pervasive Technology Institute, Indiana University, 2719 East 10th Street, 47408, Bloomington, IN, USA

    Lizhe Wang

  4. Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong SAR

    Qing Li

  5. L3S Research Center, Leibniz University Hannover, Appelstr. 4, 30167, Hannover, Germany

    Wolfgang Nejdl

  6. School of Computer Engineering and Science, Shanghai University, Xingjian Building, No. 149 Yanchang Road, 200072, Shanghai, China

    Wu Zhang

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Encheva, S. (2010). Evaluation of Learning Outcomes. In: Luo, X., Spaniol, M., Wang, L., Li, Q., Nejdl, W., Zhang, W. (eds) Advances in Web-Based Learning – ICWL 2010. ICWL 2010. Lecture Notes in Computer Science, vol 6483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17407-0_8

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  • DOI: https://doi.org/10.1007/978-3-642-17407-0_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17406-3

  • Online ISBN: 978-3-642-17407-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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