Gamification for Enhanced Recycling Engagement in Circular Economies

Authors

  • Timo Kahl Rhine-Waal University of Applied Sciences
  • Ubaida Dib
  • Marwin Wiegard
  • Frank Zimmer

DOI:

https://doi.org/10.34190/ecgbl.19.1.4181

Keywords:

Digital Engagement, Game-Based Learning, AI-Enhanced Learning, Public Participation in Recycling, Sustainability, Behavioural Change

Abstract

Global waste generation continues to rise, with current estimates ranging between 7 and 10 billion tons annually (Alvarez-Risco et al., 2022). Although Germany operates one of the most advanced recycling systems worldwide, its complexity - characterized by strict multi-bin separation rules, regional sorting variations, and the growing use of mixed-material packaging - presents significant challenges for residents. Additionally, public motivation to sort waste correctly is declining. The Transformers project addresses these challenges by developing a gamified, web-based application designed to promote correct recycling behaviour through interactive, educational, and motivational elements. This digital tool is part of a broader initiative to boost material recycling through digital innovation and encouraging active public involvement. By combining proven learning strategies with immersive gamification elements, the application significantly improves knowledge retention and fosters deeper user engagement in recycling activities. The gamification strategy and learning modules were developed based on interviews with experts from the recycling industry. A mixed methods approach also encompassed a design sprint with citizens and representatives of public authorities. Key features of the application include sorting simulations, knowledge quizzes, challenge-based activities, a personalised dashboard, weekly leaderboards, and progress summaries. Educational content is delivered through structured modules, gamified tasks, interactive games, and an integrated Recycling News Hub. A point-based rewards system further incentivises participation, enabling users to redeem their points for sustainable rewards. Future developments will integrate artificial intelligence to offer personalised recommendations, adaptive learning pathways, real-time chatbot assistance, and natural language processing-based summaries of recycling news.

Author Biographies

Timo Kahl, Rhine-Waal University of Applied Sciences

Dr. Timo Kahl is Professor of Business Informatics at Rhine-Waal University of Applied Sciences. His research activities focus on the analysis, optimization, and automation of business processes (e.g., through RPA and IPA) as well as the design of enterprise application systems in companies and public administrations.

Ubaida Dib

Ubaida Dib, M.Sc. holds a master’s degree in Information Engineering and Computer Science and works as a software developer in the field of digital platforms for sustainability initiatives.

Marwin Wiegard

Marwin Wiegard is a research assistant in the field of administrative informatics at Rhine-Waal University of Applied Sciences and has been a doctoral candidate at the University of Siegen since 2020. He focuses on interactive and collaborative concepts and apps for e-participation with a focus on UX and information design.

Frank Zimmer

Dr. Frank Zimmer is Professor of Computer Science and Mathematics at Rhine-Waal University of Applied Sciences and he heads the Computational Intelligence and Visualization Lab. His current research interests include simulation, visualization, artificial intelligence and machine learning, with a particular focus on deep reinforcement learning and physics-informed machine learning.

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Published

2025-09-26