Gamification for Enhanced Recycling Engagement in Circular Economies
DOI:
https://doi.org/10.34190/ecgbl.19.1.4181Keywords:
Digital Engagement, Game-Based Learning, AI-Enhanced Learning, Public Participation in Recycling, Sustainability, Behavioural ChangeAbstract
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.