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The impact of gamification on teaching and learning Physical Internet: a quasi-experimental study

Chao Wang (Department of Transportation Economics and Logistics Management, College of Economics, Shenzhen University, Shenzhen, China)
Jianbo He (Department of Transportation Economics and Logistics Management, College of Economics, Shenzhen University, Shenzhen, China)
Zhaodong Jin (Department of Transportation Economics and Logistics Management, College of Economics, Shenzhen University, Shenzhen, China)
Shenle Pan (Centre de Gestion Scientifique – I3 – UMR CNRS 9217, Mines ParisTech, Paris, France)
Mariam Lafkihi (Centre de Gestion Scientifique – I3 – UMR CNRS 9217, Mines ParisTech, Paris, France)
Xiangtianrui Kong (Department of Transportation Economics and Logistics Management, College of Economics, Shenzhen University, Shenzhen, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 19 January 2022

Issue publication date: 10 June 2022

530

Abstract

Purpose

Today's logistics industry is facing severe challenges since global transportation demand increases substantially. Carriers are urged to reduce empty loads and CO2 emissions through collaboration. Therefore, the concept of Physical Internet (PI) came into being. However, PI is still in its infancy. It is difficult to understand its sophisticated coordination mechanism, which makes learning of the concept more complicated.

Design/methodology/approach

Gamification is an effective approach to help students improve their learning curve. At the same time, the psychological and behavioral changes in learning will also pose an impact on learning efficiency. This paper introduces a PI transportation game and designs a set of gamification teaching experiments. In the experiment, a control group and three experimental groups are set up, and the experiment was designed to respond to a plethora of research questions using the methods of T-test, correlation analysis and regression analysis. Experimental results were analyzed through the method of multivariate statistics.

Findings

This paper looks for superior pedagogical methods and procedures for students to learn PI while providing suggestions for PI's learning among undergraduates. The authors found (1) gamification teaching will make participants feel more satisfied and master more knowledge points; (2) the scores of logistics testing have been significantly improved after gamification teaching and (3) flow experience has a significant impact on game revenue.

Originality/value

This is the first study about the impact of gamification on teaching and learning PI. The authors apply the methods of T-test, correlation analysis and regression analysis to analyze the collected data. The paper proves that gamification can help students learn PI and that flow experience can improve the efficiency of students learning PI.

Keywords

Citation

Wang, C., He, J., Jin, Z., Pan, S., Lafkihi, M. and Kong, X. (2022), "The impact of gamification on teaching and learning Physical Internet: a quasi-experimental study", Industrial Management & Data Systems, Vol. 122 No. 6, pp. 1499-1521. https://doi.org/10.1108/IMDS-09-2021-0600

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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