Abstract
The integration of Internet of Things (IoT) technologies to address environmental sustainability exemplifies the current need for innovative data collection and community involvement. At the same time, the citizen science movement fosters voluntary participation to democratize science. However, access to robust training and large-scale deployment remains limited. This study proposes the SKILIKET system, a flexible training tech kit that monitors environmental variables in real time using IoT capabilities and a citizen science approach. The initiative seeks to foster participants' technical and civic competencies, using the system to help them understand socio-ecological phenomena. Drawing on Design-Based Research methodology, the authors describe co-creation activities that will be further conducted with higher education student teams to develop the ideal use of the system. This first stage (experimental design) anticipates the expected system interactions in a controlled environment, where students are encouraged to actively collect data from their immediate environment. This engagement aims to nurture a deeper understanding of socio-environmental issues, enhance public awareness, and support data-driven decision-making and public policy development. SKILIKET incorporates educational objectives and promotes civic skills, data literacy, and community-oriented problem-solving. This paper discusses the initial design, implementation strategies, and expected educational and societal impact of SKILIKET, highlighting its dual role in environmental monitoring and educational enhancement to achieve the U.N. Sustainable Development Goals (SDGs).
Published Version
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