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Completeness and Collaboration in the Early Design Phase of Learning Games: Do Ideation Cards Provide Scaffolding?

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Learning and Collaboration Technologies: Games and Virtual Environments for Learning (HCII 2021)

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Abstract

Game-based learning (GBL) has proliferated rapidly in recent years, with both industry and academic research communities calling for collaborative work practices in the educational game design process that need to address all the key GBL aspects and create a shared understanding among team members. Design cards have the potential to improve idea generation and communication between stakeholders. However, potential scaffolding for completeness (focusing on all key GBL dimensions) and collaboration (working together to produce something) in learning game design are not explored. Therefore, in this paper, we investigate how this design approach can scaffold for collaboration and completeness in the early phase of the learning game design process using a card-based GBL ideation toolkit in design workshops. Seven teams were analyzed using design artifacts and video recordings of the workshop session. The results are encouraging in terms of the applicability of ideation cards in the GBL design process to scaffold completeness and collaboration.

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Authors and Affiliations

  1. Norwegian University of Science and Technology (NTNU), Trondheim, Norway

    Rabail Tahir & Alf Inge Wang

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  1. Rabail Tahir
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  2. Alf Inge Wang
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Correspondence to Rabail Tahir .

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Editors and Affiliations

  1. Department of Multimedia and Graphic Arts, Cyprus University of Technology, Lemesos, Cyprus

    Panayiotis Zaphiris

  2. Research Center on Interactive Media, Smart Systems and Emerging Technologies (CYENS), Cyprus University of Technology, Limassol, Cyprus

    Andri Ioannou

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Tahir, R., Wang, A.I. (2021). Completeness and Collaboration in the Early Design Phase of Learning Games: Do Ideation Cards Provide Scaffolding?. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies: Games and Virtual Environments for Learning. HCII 2021. Lecture Notes in Computer Science(), vol 12785. Springer, Cham. https://doi.org/10.1007/978-3-030-77943-6_7

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  • DOI: https://doi.org/10.1007/978-3-030-77943-6_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77942-9

  • Online ISBN: 978-3-030-77943-6

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