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Hybrid Learning Meets Assessment for Learning: Facing the Misconceptions

  • Conference paper
Hybrid Learning (ICHL 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6837))

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Abstract

This paper provides a case study of an institutional approach to assessment for learning and the role hybrid learning plays in the process. The paper reports on the successful implementation of assessment for learning at the University of Glamorgan, highlighting the importance of understanding the pedagogical underpinning of assessment for learning before being lured into the “wonders” of e-assessment in a hybrid learning context. A set of common misconceptions and illusions about the way e-assessment is seen as helping achieve assessment for learning is presented. An institutional wide project that has helped address these misconceptions and illusions is discussed, and by sharing this case study we hope to generate new thinking on the role of hybrid learning in developing not only assessment for learning but other learning and teaching strategies.

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Author information

Authors and Affiliations

  1. Centre for Excellence in Learning and Teaching (CELT), University of Glamorgan, CF37 1DL, United Kingdom

    Alice Lau & Haydn Blackey

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  1. Alice Lau
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  2. Haydn Blackey
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Editor information

Editors and Affiliations

  1. Caritas Institute of Higher Education, 18, Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Reggie Kwan

  2. Department of Computer Science, City University of Hong Kong, 83, Tat Chee Avenue, Kowloon Tong, Hong Kong, China

    Joseph Fong  & Lam-for Kwok  & 

  3. Centre for Cyber Learning, School of Professional and Continuing Education, The University of Hong Kong, Hong Kong, China

    Jeanne Lam

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© 2011 Springer-Verlag Berlin Heidelberg

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Lau, A., Blackey, H. (2011). Hybrid Learning Meets Assessment for Learning: Facing the Misconceptions. In: Kwan, R., Fong, J., Kwok, Lf., Lam, J. (eds) Hybrid Learning. ICHL 2011. Lecture Notes in Computer Science, vol 6837. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22763-9_10

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  • DOI: https://doi.org/10.1007/978-3-642-22763-9_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22762-2

  • Online ISBN: 978-3-642-22763-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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