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Gamification to avoid cognitive biases: An experiment of gamifying a forecasting course

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  • Legaki, Nikoletta-Zampeta
  • Karpouzis, Kostas
  • Assimakopoulos, Vassilios
  • Hamari, Juho

Abstract

In their daily lives, people are confronted with situations where they need to form a schema of possible future scenarios and the likelihood of them occurring, be it about climate change, economic up- or downturn, or even the potential success of a romantic date. Be these issues of mundane or universal importance, this judgmental forecasting poses people with a difficult pervasive cognitive challenge. Commonly, judgmental forecasting is taught in forecasting courses syllabi, and the pedagogy surrounding it is challenging. However, gamification and game-based learning have risen as promising tools to simulate different kinds of scenarios and stimulate cognitive problem solving. This study investigates the effects of a gamified application with points, levels, challenges, storytelling and leaderboard for teaching judgmental forecasting by conducting a 2×2 between-subjects experiment (treatments: i) read: yes vs no, and ii) gamification: yes vs no), with a sample of 285 students of a School of Electrical and Computer Engineering and a Business Administration Department. The findings indicate that the gamified application improved learning outcomes regarding the heuristics and biases that affect judgmental forecasting by almost 15%, supporting the use of gamification in forecasting education.

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  • Legaki, Nikoletta-Zampeta & Karpouzis, Kostas & Assimakopoulos, Vassilios & Hamari, Juho, 2021. "Gamification to avoid cognitive biases: An experiment of gamifying a forecasting course," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    • Handle: RePEc:eee:tefoso:v:167:y:2021:i:c:s0040162521001578
    DOI: 10.1016/j.techfore.2021.120725
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    4. Dzandu, Michael D. & Hanu, Charles & Amegbe, Hayford, 2022. "Gamification of mobile money payment for generating customer value in emerging economies: The social impact theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 185(C).

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