AI for Environmental Education

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Resources

Below you will find a list of resources that were consulted and utilised in the development of this course. We invite you to review these resources and learn even more about AI and GenAI in adult education and environmental education.

Resources
  • Aggarwal, D. 2023. “Green Education: A Sustainable Development Initiative with the Power of Artificial Intelligence (AI).” Journal of Image Processing and Intelligent Remote Sensing 3 (5): 39–44.
  • Almarie, B., et al. 2023. “The Use of Large Language Models in Science: Opportunities and Challenges.” Principles and Practice of Clinical Research 9 (1): 1–4.
  • Ardoin, N. M. 2013. “An Exploration of Future Trends in Environmental Education Research.” Environmental Education Research 19 (4): 499–520.
  • Chang, C.H., and G. Kidman. 2023. “The Rise of Generative Artificial Intelligence (AI) Language Models—Challenges and Opportunities for Geographical and Environmental Education.” International Research in Geographical and Environmental Education 32 (2): 85–89.
  • Das, S., et al. 2024. “The Integration of AI Technology into Environmental Education.” In Life as Basic Science: An Overview and Prospects for the Future, 1: 223–47. International Academic Publishing House.
  • Huang, S.P.. 2018. “Effects of Using Artificial Intelligence Teaching System for Environmental Education on Environmental Knowledge and Attitude.” Eurasia Journal of Mathematics, Science and Technology Education 14 (7): 3277–84.
  • Kiraz, A., and I. Danju. 2025. “Integration of Digital Education into Environmental Education: Raising Environmental Awareness through the Media.” In Advanced Studies in Complex Systems: Theory and Applications 2025, 193–202. Springer.
  • Monroe, M.C., et al. 2008. “A Framework for Environmental Education Strategies.” Applied Environmental Education & Communication 6 (3–4): 205–16.
  • Sajja, R., et al. 2024. “End-to-End Deployment of the Educational AI Hub for Personalized Learning and Engagement: A Case Study on Environmental Science Education.” IEEE Access 13: 55169–86.
  • Smith, G. B., et al. 2024. “Ten Simple Rules for Using Large Language Models in Science, Version 1.0.” PLoS Computational Biology 20 (1): e1011767.

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Agency for Mobility and EU Programmes (AMPEU). Neither the European Union nor the granting authority can be held responsible for them.