Author
Listed:
- Ana Todorova
(Faculty of Business and Management, University of Ruse Angel Kanchev, 7017 Ruse, Bulgaria)
- Irina Kostadinova
(Faculty of Business and Management, University of Ruse Angel Kanchev, 7017 Ruse, Bulgaria)
- Svetlana Stefanova
(Faculty of Electrical Engineering, Electronics and Automatics, University of Ruse Angel Kanchev, 7017 Ruse, Bulgaria)
Abstract
This article explores the potential of an integrated pedagogical approach that combines project-based learning (PBL) with Internet of Things (IoT) technologies to achieve the United Nations’ Sustainable Development Goals (SDGs). Within the context of Education for Sustainable Development (ESD), this model transforms students from passive consumers of information into active agents of change. The study demonstrates that leveraging IoT sensors enables students to tackle pressing and complex sustainability challenges by engaging them in a comprehensive problem-solving cycle—from collecting real-world data to developing innovative solutions. By analysing the existing scientific literature, the approach is shown to significantly improve critical thinking skills, systems thinking, creativity, and teamwork. The study also proposes a new conceptual framework (hypothesis), the EcoHabits model, whose effectiveness remains to be empirically validated. This model demonstrates IoT’s potential to enhance sustainability competencies, improve health literacy, and promote individual and collective behaviour change. Despite its significant pedagogical benefits, the article identifies key implementation challenges, including the need for adequate teacher training and community collaboration. In conclusion, this innovative framework offers a promising solution for preparing future generations to address global issues and become active, responsible citizens of the 21st century.
Suggested Citation
Ana Todorova & Irina Kostadinova & Svetlana Stefanova, 2025.
"Developing Sustainability Problem-Solving Skills Through Internet of Things Projects,"
Sustainability, MDPI, vol. 17(22), pages 1-38, November.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:22:p:10367-:d:1798373
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:22:p:10367-:d:1798373. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.