Knowledge strongly affects attitudes toward waste management; thus, embedding an environmental mentality at a young age is crucial. Game-based interventions, such as gamification and game-based learning, have huge potential to be effective learning tools. This paper examines the potential of gamification to improve waste management practices among schoolchildren through a narrative review of 25 papers on gamification for waste management and gamification for schoolchildren. The effectiveness of game-based learning and gamification in mitigating waste management issues with schoolchildren has not yet been well-described in the literature; however, the evolving market in related sectors is a strong indication of their potential. A robust understanding of social and behavioral theories is necessary for implementing gamification and game-based learning effectively. Additionally, the game elements, design, and mechanics that can achieve the most positive impacts should be explored further. It is hoped that this study will contribute to the body of knowledge in the environmental sector on gamification as an innovative process for improving household-level waste management behavior among schoolchildren.
Abstract. Providing safe excreta disposal following disasters is important for disease prevention and the safety and dignity of the affected population. This is challenging because every emergency varies due to the nature of the disaster, local conditions and the characteristics of the affected population. This paper investigates the impact of the 2006 Java earthquake on excreta disposal needs and the response to those needs. Relevant documents were retrieved from the ReliefWeb database, complemented by a literature search. The case study highlights gaps in rapidly providing latrines on a large scale. Three months after the disaster, only 57% of the latrines targeted had been provided. One way to address this problem is to better understand the factors affecting excreta disposal needs and response, allowing appropriate solutions to be identified more effectively.
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