Open Access
| Issue |
E3S Web Conf.
Volume 726, 2026
The Second International Congress on Environment, Energy, and Materials for Sustainable Development Technology (IC2EM-SDT’26)
|
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|---|---|---|
| Article Number | 01039 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/e3sconf/202672601039 | |
| Published online | 13 July 2026 | |
- UNESCO, Reimagining our futures together: A new social contract for education. UNESCO (2021). https://doi.org/10.54675/ASRB4722 [Google Scholar]
- United Nations, Transforming our world: The 2030 agenda for sustainable development. UN (2015). https://sdgs.un.org/2030agenda [Google Scholar]
- UNESCO, Education for Sustainable Development Goals: Learning objectives. UNESCO (2017). https://doi.org/10.54675/CGBA9153 [Google Scholar]
- A. Redman, A. Wiek, Competencies for Advancing Transformations Towards Sustainability. Front. Educ. 6, 785163 (2021). https://doi.org/10.3389/feduc.2021.785163 [Google Scholar]
- V. Kumar, S.K. Choudhary, R. Singh, Environmental socio-scientific issues as contexts in developing scientific literacy in science education: A systematic literature review. Soc. Sci. Humanit. Open 9, 100765 (2024). https://doi.org/10.1016/Lssaho.2023.100765 [Google Scholar]
- O. Noroozi, S. Soleimani, M. Farrokhnia, S.K. Banihashem, Generative AI in Education: Pedagogical, Theoretical, and Methodological Perspectives. Int. J. Technol. Educ. 7, 373–385 (2024). https://doi.org/10.46328/ijte.845 [Google Scholar]
- S. Wang, F. Wang, Z. Zhu, J. Wang, T. Tran, Z. Du, Artificial intelligence in education: A systematic literature review. Expert Syst. Appl. 252, 124167 (2024). https://doi.org/10.1016/Leswa.2024.124167 [Google Scholar]
- M. Turmuzi, R. Tyaningsih, A Bibliometric Analysis of the Development of Artificial Intelligence (AI) Research in Education in Scopus Indexed Journals: What are the Future Trends of this Research? TEM J., 671–683 (2025). https://doi.org/10.18421/TEM141-60 [Google Scholar]
- Z. Arifin, S. Sukarmin, S. Saputro, Trends and research frontiers in socio-scientific issues for sustainable science education: A systematic and bibliometric analysis from 2014-2024. J. Pedagog. Res. 9, 407–434 (2025). https://doi.org/10.33902/JPR.202530575 [Google Scholar]
- J. Chan, S. Erduran, Future-Oriented Science Learning and its Effects on Students, Emotions, Futures Literacy and Agency in the Anthropocene. Res. Sci. Educ. 55, 899–919 (2025). https://doi.org/10.1007/s11165-024-10213-1 [Google Scholar]
- E. Gallay, E. Shantz, C. Flanagan, A. Pykett, L. Voelker, Environmental civic science: Civic and scientific literacy on socio-environmental issues for the common good. Theory Into Pract. 64, 154167 (2025). https://doi.org/10.1080/00405841.2025.2453365 [Google Scholar]
- N.H. Azevedo, D. O’Neill, R. Kelly, O. McCormack, From scientific literacy to scientific citizenship: exploring education outside the classroom education for youth initiatives. J. Outdoor Environ. Educ. (2026). https://doi.org/10.1007/s42322-025-00238-z [Google Scholar]
- M. Jukiewicz, How generative artificial intelligence transforms teaching and influences student wellbeing in future education. Front. Educ. 10, 1594572 (2025). https://doi.org/10.3389/feduc.2025.1594572 [Google Scholar]
- J. Park, A systematic literature review of generative artificial intelligence (GenAI) literacy in schools. Comput. Educ. Artif. Intell. 9, 100487 (2025). https://doi.org/10.1016/j.caeai.2025.100487 [Google Scholar]
- D. Wu, J. Zhang, Generative artificial intelligence in secondary education: Applications and effects on students, innovation skills and digital literacy. PLOS ONE 20, e0323349 (2025). https://doi.org/10.1371/journal.pone.0323349 [Google Scholar]
- A.C. Tricco, E. Lillie, W. Zarin, K.K. O, Brien, H. Colquhoun, D. Levac, D. Moher, M.D.J. Peters, T. Horsley, L. Weeks, S. Hempel, E.A. Akl, C. Chang, J. McGowan, L. Stewart, L. Hartling, A. Aldcroft, M.G. Wilson, C. Garritty, S. Lewin, C.M. Godfrey, M.T. Macdonald, E.V. Langlois, K. Soares-Weiser, J. Moriarty, T. Clifford, Ö. Tunçalp, S.E. Straus, PRISMA extension for scoping reviews: Checklist and explanation. Ann. Intern. Med. 169, 467–473 (2018). https://doi.org/10.7326/M18-0850 [Google Scholar]
- S.-L. Ng, C.-C. Ho, Generative AI in Education: Mapping the Research Landscape Through Bibliometric Analysis. Information 16, 657 (2025). https://doi.org/10.3390/info16080657 [Google Scholar]
- R.P. Antonio, L.R.C. Sison, Preservice mathematics teachers, reflections on AI-enhanced lesson exemplars for promoting environmental stewardship. Int. J. Technol. Educ. 9, 572–594 (2026). https://doi.org/10.46328/ijte.5363 [Google Scholar]
- W.J. Kim, Teachers, use of generative artificial intelligence for designing science lessons in support of environmental science agency. Res. Sci. Educ. (2026). https://doEorg/10.1007/s11165-025-10262-0 [Google Scholar]
- W. Leal Filho, E. Kim, J.M.L.S. Borsatto, C. B. Marcolin, Using artificial intelligence in sustainability teaching and learning. Environ. Sci. Eur. 37, 124 (2025). https://doi.org/10.1186/s12302-025-01159-w [Google Scholar]
- Y. Lin, J. Liao, Y. Zhong, L. Liu, S. Zhu, Bridging AI education and sustainable development: Design-based research on first-year undergraduates' systems analysis for habitat conservation. Sustainability 18, 1812 (2026). https://doi.org/10.3390/su18041812 [Google Scholar]
- D. Henriksen, P. Mishra, R. Stern, Creative learning for sustainability in a world of AI: Action, mindset, values. Sustainability 16, 4451 (2024). https://doi.org/10.3390/su16114451 [Google Scholar]
- F. Liu, H. Wang, Y. Guo, T. Tang, Enhancing sustainability consciousness in higher education: Impacts of artificial intelligence-integrated sustainable engineering education. Sustainability 18, 2124 (2026). https://doi.org/10.3390/su18042124 [Google Scholar]
- P. Nedungadi, K.-Y. Tang, R. Raman, The transformative power of generative artificial intelligence for achieving the Sustainable Development Goal of quality education. Sustainability 16, 9779 (2024). https://doi.org/10.3390/su16229779 [Google Scholar]
- H. Nguyen, V. Nguyen, S. Ludovise, R. Santagata, Misrepresentation or inclusion: Promises of generative artificial intelligence in climate change education. Learn. Media Technol. 50, 393–409 (2025). https://doi.org/10.1080/17439884.2024.2435834 [Google Scholar]
- H. Ugra, M. Ugra§, Teachers' ecological transformation in artificial intelligence literacy: A case study on the transition from an anthropocentric to an ecocentric perspective. Sustainability 18, 3793 (2026). https://doi.org/10.3390/su18083793 [Google Scholar]
- A.S.A. Al-Shamrani, R. E. S. Alhomayani, A. M. Ibrahim, The role of generative artificial intelligence in advancing sustainable and environmentally responsible teaching practices among postgraduate learners. Sustainability 18, 2450 (2026). https://doi.org/10.3390/su18052450 [Google Scholar]
- M.F. Mbah, T.R. Nugraha, I. Kushnir, Challenges and opportunities for leveraging generative AI for sustainability education: A critical review. Sustainability 17, 10623 (2025). https://doi.org/10.3390/su172310623 [Google Scholar]
- A.R. Masalimova, Y.P. Kosheleva, A.I. Burov, O.V. Payushina, N.L. Sokolova, M.A. Khvatova, Sustainability education meets artificial intelligence: A post-2022 bibliometric map and thematic analysis. Contemp. Educ. Technol. 17, ep609 (2025). https://doi.org/10.30935/cedtech/17482 [Google Scholar]
- G. Biagini, Towards an AI-Literate Future: A Systematic Literature Review Exploring Education, Ethics, and Applications. Int. J. Artif. Intell. Educ. 35, 2616–2666 (2025). https://doi.org/10.1007/s40593-025-00466-w [Google Scholar]
- Q. Tan, X. Tang, Unveiling AI literacy in K-12 education: a systematic literature review of empirical research. Interact. Learn. Environ. 33, 5347–5363 (2025). https://doi.org/10.1080/10494820.2025.2482586 [Google Scholar]
- S.C. Liu, P.A. Château, Fostering Hope and Action on Climate Change among University Students: Impact of a Futures-Oriented Teaching Module with Generative AI Integration. J. Sci. Educ. Technol. 34, 1467–1482 (2025). https://doi.org/10.1007/s10956-025-10229-w [Google Scholar]
- J. Iqbal, Z.F. Hashmi, M.Z. Asghar, P. S. Hakkarainen, Exploring the connections between integrated sustainable curricula, generative AI tools, and perceived climate change capabilities across the global south and north using multianalytics. Humanit. Soc. Sci. Commun. (2026). https://doi.org/10.1057/s41599-026-06895-9 [Google Scholar]
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