Teaching for sustainability and altruism through project-based learning: A framework and case study.
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| Title: | Teaching for sustainability and altruism through project-based learning: A framework and case study. |
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| Authors: | Blaisdell, Monica (AUTHOR), Haslip, Michael (AUTHOR), Meehan, Sinead (AUTHOR), Harrington, Noah (AUTHOR) |
| Source: | Journal of Moral Education. Jun2026, Vol. 55 Issue 2, p434-456. 23p. |
| Subjects: | Sustainability, Altruism, Sustainable Development Goals (United Nations), Project method in teaching, Teacher training, Sustainable development, Early childhood education, Identity (Psychology), Citizenship |
| Abstract: | This paper introduces an education for sustainable development (ESD) framework and professional development system called Teaching for Sustainability and Altruism through Project-Based Learning (SAPBL). The framework conceptualizes how a global moral identity develops through project-based pedagogy. The SAPBL framework fosters sustainability citizenship and altruistic living by empowering learners, starting in early childhood, to engage with the U.N. Sustainable Development Goals in their local context. A qualitative case study is presented to describe how early childhood teachers from the U.S. and China completed the SAPBL course and implemented this approach to ESD with their students. Teachers reported increased confidence to facilitate sustainability projects, greater ability to connect curricula to societal issues, increased examination of local-to-global challenges by students, and students' increased action to improve their world. Preparing students for global citizenship can start in preschool by motivating young children to act sustainably and altruistically. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Moral Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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