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A serious game for lean construction education enabled by internet of things

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  • Lavinia C. Tagliabue, University of Brescia
  • ,
  • Silvia Mastrolembo Ventura, University of Brescia
  • ,
  • Jochen Teizer
  • ,
  • Angelo L.C. Ciribini, University of Brescia

Previous studies have shown that the learning performance of students greatly increases once personal experiences are made possible. In construction education, few serious gaming environments are available to boost the students’ thirst of discovery and interaction. As of now, theoretical content like lean principles is often taught by frontal classroom style teaching. This paper describes the development and preliminary testing of a first of a kind serious gaming platform that introduces construction engineering and management students to hands-on learning. The novelty of the developed platform is that it combines the previously separate methods of Building Information Modeling (BIM), Internet of things (IoT), and Lean Construction (LC) in one (serious) game. Technical aspects of the platform and results to its evaluation in a classroom setting are presented. The added value to learning is shown as part of learning curves automatically generated from the players’ data. While such data were previously not available, some still existing limitations and an outlook present the next steps in establishing such serious games in construction education.

TitelLudic, Co-design and Tools Supporting Smart Learning Ecosystems and Smart Education - Proceedings of the 5th International Conference on Smart Learning Ecosystems and Regional Development, SLERD 2020
RedaktørerÓscar Mealha, Matthias Rehm, Traian Rebedea
Antal sider9
ISBN (trykt)9789811573828
StatusUdgivet - 2021
Begivenhed5th International Conference on Smart Learning Ecosystems and Regional Development, SLERD 2020 - Bucharest, Rumænien
Varighed: 25 maj 202027 maj 2020


Konference5th International Conference on Smart Learning Ecosystems and Regional Development, SLERD 2020
SerietitelSmart Innovation, Systems and Technologies

Bibliografisk note

Funding Information:
Research activities have been partially funded by the DAAD-MIUR Joint Mobility Program and the Erasmus+ for Traineeship Program that the University of Brescia was awarded with the Ruhr-Universit?t Bochum. The authors would like to acknowledge Valentina Marchetti and Chiara Minucchi, from the University of Brescia, for the precious support to data collection and analysis.

Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021.

Copyright 2020 Elsevier B.V., All rights reserved.

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