Greening smart learning environments with artificial intelligence of things
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- dc.contributor.author Tabuenca, Bernardo
- dc.contributor.author Uche-Soria, Manuel
- dc.contributor.author Greller, Wolfgang
- dc.contributor.author Balcells Falgueras, Paula
- dc.contributor.author Hernández-Leo, Davinia
- dc.contributor.author Gloor, Peter A.
- dc.contributor.author Garbajosa, Juan
- dc.date.accessioned 2025-06-12T06:10:16Z
- dc.date.available 2025-06-12T06:10:16Z
- dc.date.issued 2024
- dc.description.abstract This article investigates the functionality and applications of an Artificial Intelligence of Things (AIoT) system specifically designed for learning purposes. It presents three compelling case studies that pilot the AIoT system in various educational contexts. The first case study focuses on primary education and the use of a smart dashboard to monitor the state of plants in environmental awareness activities. In the second case study, conducted in higher education, variables such as levels, light intensity, and temperature are monitored to generate personalised recommendations for creating an optimal learning environment through tailored adjustments. The third case study explores the potential of plants to identify human presence and activity patterns in learning environments. By utilising the AIoT system’s capabilities, plant data is analysed to infer human presence and interactions. This innovative approach offers insights into understanding student behaviour and optimising learning environments based on real-time feedback from the plant ecosystem. Analysing these studies, the article deliberates on implications and future research opportunities in the realm of AI and IoT. It underscores the potential of AIoT systems in enhancing learning experiences, engaging students, and refining educational settings. The findings not only pave the way for future investigations, including model enhancements and privacy considerations but also emphasise AIoT’s potential in reshaping the educational landscape. This article serves as a valuable resource for researchers and practitioners keen on leveraging the synergy of AI and IoT in educational contexts.
- dc.format.mimetype application/pdf
- dc.identifier.citation Tabuenca B, Uche-Soria M, Greller W, Hernández-Leo D, Balcells-Falgueras P, Gloor P, et al. Greening smart learning environments with artificial intelligence of things. Internet Things (Amst). 2024 Apr;25:101051. DOI: 10.1016/j.iot.2023.101051
- dc.identifier.doi http://dx.doi.org/10.1016/j.iot.2023.101051
- dc.identifier.issn 2543-1536
- dc.identifier.uri http://hdl.handle.net/10230/70671
- dc.language.iso eng
- dc.publisher Elsevier
- dc.relation.ispartof Internet of Things. 2024 Apr;25:101051
- dc.rights © 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/
- dc.subject.keyword Artificial intelligence
- dc.subject.keyword Avatar
- dc.subject.keyword Plant biosensors
- dc.subject.keyword Environmental education
- dc.subject.keyword Internet of things
- dc.subject.keyword Learning activities
- dc.subject.keyword Predictive models
- dc.subject.keyword Smart learning environments
- dc.title Greening smart learning environments with artificial intelligence of things
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion