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Bridging Creativity and Group by Elements of Problem-Based Learning (PBL)

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Pattern Analysis, Intelligent Security and the Internet of Things

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 355))

Abstract

As recent studies have discussed problem-based learning (PBL) as a popular model of fostering creativity, this paper aims to explore a research question: How can we bridge creativity and group work using elements of PBL to deepen understanding of PBL as a tool for creative learning? A theoretical framework aiming to respond to this question will be provided from a literature review. Accordingly, five elements include (1) group learning, (2) problem solving, (3) interdisciplinary learning, (4) project management, and (5) facilitation. These main elements show PBL is a suitable learning environment to develop individual creativity and to stimulate interplay of individual and group creativity. This study builds a theoretical model, urging a systematic view of PBL in creative facilitation and also indicates its practical significance and potential questions for future investigation.

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Author information

Authors and Affiliations

  1. Department of Learning and Philosophy, Aalborg University, Aalborg, Denmark

    Chunfang Zhou

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  1. Chunfang Zhou
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Correspondence to Chunfang Zhou .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  2. Department of Software Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Malaysia

    Azah Kamilah Muda

  3. Department of Software Engineering Faculty of Info. and Communication Tech., Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Malaysia

    Yun-Huoy Choo

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Zhou, C. (2015). Bridging Creativity and Group by Elements of Problem-Based Learning (PBL). In: Abraham, A., Muda, A., Choo, YH. (eds) Pattern Analysis, Intelligent Security and the Internet of Things. Advances in Intelligent Systems and Computing, vol 355. Springer, Cham. https://doi.org/10.1007/978-3-319-17398-6_1

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  • DOI: https://doi.org/10.1007/978-3-319-17398-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17397-9

  • Online ISBN: 978-3-319-17398-6

  • eBook Packages: EngineeringEngineering (R0)

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