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Prototyping for Internet of Things with Web Technologies: A Case on Project-Based Learning using Scrum
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
Lund University.
2019 (English)In: 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), Milwaukee, WI, USA, USA, 2019, Vol. 2Conference paper, Published paper (Refereed)
Abstract [en]

The traditional way of teaching may no longer be sufficient to cope with current requirements specifically in the Internet of Things (IoT) domain. The case for this paper is related to an introductory programming course on JavaScript for the period of 2016-2018. In this study a multi-method approach for data collection is utilized. Project-Based Learning (PBL), Scrum and rapid prototyping are utilized to support student projects over the three years. Students developed a number of prototypes for various IoT domains related to ongoing research projects within our research center. The results show that students could easily use their JavaScript knowledge for any type of IoT development. PBL, Scrum and rapid prototyping help addressing uncertainties during the projects and balancing the team efforts for learning, development, problem solving and creativity. One of the outcomes of this paper confirms that smaller team sizes of students perform better during the project lifetime. In conclusion, focusing on knowledge increase, teamwork, collaboration, interaction, constant feedback, and adaptability should be considered a priority while exploiting teaching approaches such as PBL, Scrum and rapid prototyping for IoT development.

Place, publisher, year, edition, pages
Milwaukee, WI, USA, USA, 2019. Vol. 2
Series
Proceedings - International Computer Software & Applications Conference, ISSN 0730-3157
Keywords [en]
IoT, Prototyping, Scrum, Project-Based Learning, PBL, JavaScript, Web Technologies
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:mau:diva-17333DOI: 10.1109/COMPSAC.2019.10223ISI: 000538781300050ISBN: 978-1-7281-2607-4 (electronic)OAI: oai:DiVA.org:mau-17333DiVA, id: diva2:1431039
Conference
2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)
Available from: 2020-05-18 Created: 2020-05-18 Last updated: 2022-08-04Bibliographically approved

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Vogel, BahtijarPeterson, Bo

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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