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Modelling Change Towards Hybrid Learning

  • Conference paper
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Learning Technologies and Systems (SETE 2020, ICWL 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12511))

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Abstract

Schools are often confronted with the complexities of change when implementing hybrid learning. Extant change theories provide a multitude of strategies to deal with change. As many of these strategies approach change in different ways, they often portray conflicting or opposing views. For schools to institutionalize hybrid learning, they require a unified view. This paper presents such a unified view of change and shows the development of a context-based change meta-model towards enabling schools to change to hybrid learning.

The change constructs making up extant change strategies were analysed to determine their scope and the way in which they are structured.

In combining a theoretical and real-life perspective, different modes of analysis and methodologies were applied to develop the change metamodel. This included a theoretical analysis of change constructs and their underlying structures as evident in extant literature; analyzing a real-life case; and integrating the theoretical view and the real-life view to mold the change metamodel.

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Author information

Authors and Affiliations

  1. Department of Informatics, University of Pretoria, Pretoria, South Africa

    Johannes Petrus Rossouw, Machdel Matthee & Lizette Weilbach

Authors
  1. Johannes Petrus Rossouw
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  2. Machdel Matthee
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  3. Lizette Weilbach
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Corresponding author

Correspondence to Johannes Petrus Rossouw .

Editor information

Editors and Affiliations

  1. Ningbo Institute of Industrial Technology, Ningbo, China

    Chaoyi Pang

  2. College of Computer Science, Zhejiang University, Hangzhou, China

    Yunjun Gao

  3. Monash University, Clayton, VIC, Australia

    Guanliang Chen

  4. Faculty of Automation, Computers and Electronics, University of Craiova, Craiova, Romania

    Elvira Popescu

  5. Department of Physics, Zhejiang University, Hangzhou, China

    Lu Chen

  6. School of Computer Science, South China Normal University, Guangzhou, China

    Tianyong Hao

  7. Zhejiang University, Ningbo, China

    Bailing Zhang

  8. Universidad Internacional De La Rioja, Logroño, Spain

    Silvia Margarita Baldiris Navarro

  9. Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong

    Qing Li

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Rossouw, J.P., Matthee, M., Weilbach, L. (2021). Modelling Change Towards Hybrid Learning. In: Pang, C., et al. Learning Technologies and Systems. SETE ICWL 2020 2020. Lecture Notes in Computer Science(), vol 12511. Springer, Cham. https://doi.org/10.1007/978-3-030-66906-5_25

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  • DOI: https://doi.org/10.1007/978-3-030-66906-5_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66905-8

  • Online ISBN: 978-3-030-66906-5

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