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Systems for Personalised Learning: Personal Learning Environment vs. E-Portfolio?

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Hybrid Learning (ICHL 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7411))

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Abstract

Fostering personalisation is an open issue in many areas. This in particular applies to the area of technology-enhanced learning. Two concepts address this trend - namely e-portfolios and personal learning environments. Different systems have been proposed to support this kind of learning. This paper tries to characterise and distinguish these two concepts to subsequently classify a selection of six systems according to these concepts. This comparison results in a better appraisal of technological solutions and a derivation of future issues to be addressed.

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Author information

Authors and Affiliations

  1. Media Informatics Group, University of Bamberg, Bamberg, Germany

    Stefanie Gooren-Sieber & Andreas Henrich

Authors
  1. Stefanie Gooren-Sieber
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  2. Andreas Henrich
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Editor information

Editors and Affiliations

  1. Open University of Hong Kong, 30 Good Shepherd Street, Ho Man Tin, Kowloon, Hong Kong, China

    Simon K. S. Cheung

  2. Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China

    Joseph Fong  & Lam-For Kwok  & 

  3. South China Normal University, 510631, Guangzhou, China

    Kedong Li

  4. Caritas Institute of Higher Education, 18 Chui Linf Road, Tseung Kwan O, New Territories, Hong Kong, China

    Reggie Kwan

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© 2012 Springer-Verlag Berlin Heidelberg

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Gooren-Sieber, S., Henrich, A. (2012). Systems for Personalised Learning: Personal Learning Environment vs. E-Portfolio?. In: Cheung, S.K.S., Fong, J., Kwok, LF., Li, K., Kwan, R. (eds) Hybrid Learning. ICHL 2012. Lecture Notes in Computer Science, vol 7411. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32018-7_28

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  • DOI: https://doi.org/10.1007/978-3-642-32018-7_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32017-0

  • Online ISBN: 978-3-642-32018-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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