Vol. 17 No. 2 (2026)
Special Issue: SI_TGEO

Generative AI in Geography Education: Content Creation and Conversational AI-Supported Learning to Promote Environmental Awareness

María Bueno-Picazo
University of Castilla-La Mancha, Spain
Sergio Tirado-Olivares
University of Castilla-La Mancha, Spain
Screenshot of an AI-generated worksheet developed by the authors for the purposes of this study (text generated with ChatGPT and image created with DreamLab)
Categories

Published 2026-03-06

Keywords

  • Artificial Intelligence,
  • Geographical Thinking,
  • Environmental awareness,
  • Primary education,
  • Intelligent tutoring systems,
  • Critical digital literacy
  • ...More
    Less

How to Cite

Bueno-Picazo, María, and Sergio Tirado-Olivares. 2026. “Generative AI in Geography Education: Content Creation and Conversational AI-Supported Learning to Promote Environmental Awareness”. European Journal of Geography 17 (2):S.34-S.48. https://doi.org/10.48088/ejg.m.bue.17.2.034.048.
Received 2025-09-12
Accepted 2026-02-28
Published 2026-03-06

Abstract

Fostering critical awareness of contemporary global challenges—such as those addressed by Sustainable Development Goals—has become a key educational priority. In this context, the emergence of generative artificial intelligence (AI) opens new opportunities to support this aim in schools, while also underscoring the need to promote critical thinking regarding the information encountered. This study explores the integration of generative AI in primary education, comparing conversational AI-supported learning with traditional web searches as a means to foster geographical thinking and environmental awareness concerning a recent real-world environmental phenomenon and its societal impact. A quasi-experimental and quantitative study was conducted in Spain with 45 5th-grade students enrolled in primary education, divided into two groups: the experimental group engaged in conversational AI-supported learning using ChatGPT, while the control group relied on traditional web searches (Google) to analyze the same AI-generated content. The results show significant improvements in geographical knowledge and the application of geographical thinking, particularly among students in the conversational AI-supported learning condition. Nevertheless, students’ overall perceptions of conversational AI-supported learning remained generally neutral. These findings suggest that generative AI, when used with a clear educational purpose, can enrich geography instruction by connecting curricular content to real-world issues, fostering deeper reflection, and highlighting the need for further AI-mediated interventions in the classroom.

Highlights:

  • AI boosts geographical thinking in 5th graders through guided inquiry.
  • Conversational AI-supported learning outperformed Google in geography knowledge tasks.
  • Students reported largely neutral perceptions of conversational AI-supported learning.

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References

  1. Al-Abdullatif, A. M. (2023). Modeling students’ perceptions of chatbots in learning: Integrating technology acceptance with the value-based adoption model. Education Sciences, 13(11), 1151. https://doi.org/10.3390/educsci13111151
  2. AlAli, R., & Yousef, W. (2024). Enhancing student motivation and achievement in science classrooms through STEM education. STEM Education, 4(3), 183–198. https://doi.org/10.3934/steme.2024012
  3. Aravantinos, S., Lavidas, K., Komis, V., Karalis, T., & Papadakis, S. (2026). Artificial Intelligence in K-12 Education: A Sys-tematic Review of Teachers’ Professional Development Needs for AI Integration. Computers, 15(1), 49-79. https://doi.org/10.3390/computers15010049
  4. Bendl, T., Krajňáková, L., Marada, M., & Řezníčková, D. (2024). Geographical thinking in geography education: a sys-tematic review. International Research in Geographical and Environmental Education, 34(4), 326-352. https://doi.org/10.1080/10382046.2024.2354097
  5. Brooks, C., Butt, G., & Fargher, M. (Eds.). (2017). The power of geographical thinking. Springer.
  6. Cao, L., & Dede, C. (2023). Navigating a world of generative AI: Suggestions for educators. Harvard Graduate School of Education, 5(2). https://nextlevellab.gse.harvard.edu/files/2023/08/Cao_Dede_final_8.4.23.pdf
  7. Chang, C. H., & Kidman, G. (2023). The rise of generative artificial intelligence (AI) language models - challenges and opportunities for geographical and environmental education. International Research in Geographical and Envi-ronmental Education, 32(2), 85-89. https://doi.org/10.1080/10382046.2023.2194036
  8. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Erlbaum.
  9. Cui, Y., & Zhang, H. (2025). Can students accurately identify AI‑generated content? An exploration of AIGC credibility from the user’s perspective in education. Education and Information Technologies, 30(4), 13448. https://doi.org/10.1007/s10639-025-13448-1
  10. Dai, J., & Liu, F. (2024). Embracing the digital landscape: enriching the concept of sense of place in the digital age. Humanities and Social Sciences Communications, 11(724). https://doi.org/10.1057/s41599-024-03200-4
  11. Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).
  12. De Miguel González, R. (2021). Didáctica de la geografía y ciudadanía sostenible. Didacticae, 9, 4-6. https://doi.org/10.1344/did.2021.9.4-6
  13. European Commission. Directorate-General for Education, Youth, Sport and Culture. (2022). Ethical guidelines on the use of artificial intelligence (AI) and data in teaching and learning for educators. Publications Office of the Euro-pean Union. https://data.europa.eu/doi/10.2766/153756
  14. Fan, Y., Tang, L., Le, H., Shen, K., Tan, S., Zhao, Y., Shen, Y., Li, X., & Gašević, D. (2025). Beware of metacognitive lazi-ness: Effects of generative artificial intelligence on learning motivation, processes, and performance. British Journal of Educational Technology, 56(2), 489–530. https://doi.org/10.1111/bjet.13544
  15. Federiakin, D., Molerov D., Zlatkin-Troitschanskaia, O., & Maur, A. (2024). Prompt engineering as a new 21st century skill. Frontiers in Education, 9, 1366434. https://doi.org/10.3389/feduc.2024.1366434
  16. Finlayson, C., Gregory, M., Ludtke, C., & Meoli, C. (2017). Cultivating Geographical Thinking: A Framework for Student-Led Research on Food Waste. Review of International Geographical Education Online, 7(1), 80-93. https://dergipark.org.tr/en/pub/rigeo/issue/40883/493133
  17. García Monteagudo, D. (2024). Formación inicial del profesorado de Educación Infantil en pensamiento geográfico: paisaje e identidades territoriales. ENSAYOS, Revista de la Facultad de Educación de Albacete, 39(1), 57-73. http://www.revista.uclm.es/index.php/ensayos
  18. Grace, E., Vidhyavathi, L., & Malathi, L. (2023). A study on "AI in education: Opportunities and challenges for personal-ized learning." Industrial Engineering Journal, 52(5), 750–759. https://doi.org/10.36893/iej.2023.v52i05.750-759
  19. Hindmarsh, K., & Budke, A. (2023). What are the competences & difficulties of school students in writing material-based & multi-perspective argumentations in geography classrooms? European Journal of Geography, 14(3), 55–67. https://doi.org/10.48088/ejg.k.hin.14.3.055.067
  20. Housni, M., Talbi, M., & Namir, A. (2021). Simple Technology is an Improved Solution for a Post-Pandemic Informative System: A Reference Model. International Journal of Emerging Technologies in Learning, 16(16), 35–51. https://doi.org/10.3991/ijet.v16i16.23211
  21. Howell, J. B., & Maddox, L. E. (2022). Geographic inquiry for citizenship: Identifying barriers to improving teachers’ practice. The Journal of Social Studies Research, 48(1), 17-36. https://doi.org/10.1016/j.jssr.2022.04.001
  22. Hughes, A. (2023). ChatGPT: Everything you need to know about OpenAI’s GPT-4 tool. BBC Science Focus Magazine. https://www.sciencefocus.com/future-technology/gpt-3
  23. Jacobsen, L. J., & Weber, K. E. (2025). The promises and pitfalls of large language models as feedback providers: A study of prompt engineering and the quality of AI-driven feedback. AI, 6(2), 35. https://doi.org/10.3390/ai6020035
  24. Karimova, S. S. (2023). Introducing children of primary school age with the world. American Journal of Applied Science and Technology, 3(6), 9–14. https://doi.org/10.37547/ajast/Volume03Issue06-03
  25. Kim, Y., Park, Y., & Choi, J. (2017). A study on the adoption of IoT smart home service: using Value-based Adoption Model. Total Quality Management & Business Excellence, 28(9-10), 1149-1165. https://doi.org/10.1080/14783363.2017.1310708
  26. Korteling, J. E. H., van de Boer-Visschedijk, G. C., Blankendaal, R. A. M., Boonekamp, R. C., & Eikelboom, A. R. (2021). Human- versus Artificial Intelligence. Frontiers in Artificial Intelligence, 4, 622364. https://doi.org/10.3389/frai.2021.622364
  27. Lambert, D. (2011). Reviewing the case for geography, and the ‘knowledge turn’ in the English National Curriculum. The Curriculum Journal, 22(2), 243-264. https://doi.org/10.1080/09585176.2011.574991
  28. Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., & Pechenkina, E. (2023). Generative AI and the future of educa-tion: Ragnarök or reformation? A paradoxical perspective from management educators. The International Jour-nal of Management Education, 21(2), 100790. https://doi.org/10.1016/j.ijme.2023.100790
  29. Long, D., & Magerko, B. (2020). What is AI Literacy? Competencies and Design Considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3313831.3376727
  30. Luckin, R., George, K., & Cukurova, M. (2022). AI for School Teachers. CRC Press.
  31. Martínez Garrido, M. V., & Solarte Gómez, C. (2025). Tendencias Investigativas sobre uso de las Tecnologías de la In-formación y las Comunicaciones (TIC) en el Aprendizaje y la Enseñanza de las Ciencias Sociales en la Educación Básica en Santa Cruz de Lorica, Córdoba, Colombia. Ciencia Latina Revista Científica Multidisciplinar, 9(1), 11147-11164. https://doi.org/10.37811/cl_rcm.v9i1.16692
  32. Mašterová, V. (2023). Learning and teaching through inquiry with geospatial technologies: A systematic review. Euro-pean Journal of Geography, 14(3), 42–54. https://doi.org/10.48088/ejg.v.mas.14.3.042.054
  33. McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955. AI Magazine, 27(4), 12. https://doi.org/10.1609/aimag.v27i4.1904
  34. Meadows, M. E. (2020). Geography education for sustainable development. Geography and Sustainability, 1(1), 88-92. https://doi.org/10.1016/j.geosus.2020.02.001
  35. Montero Reyes, Y., Baque Estefany, A., Bravo Ordoñez, Y. Y., Ortega Lema, W. I., Parrales Ramírez, A. P., & Ronquillo Figueroa, C. G. (2025). Technological resources to encourage dynamic student participation in the area of social studies. Southern Perspective Perspectiva Austral, 3(31). https://doi.org/10.56294/pa202531
  36. Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Com-puters and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041
  37. OECD. (2023). Empowering young children in the digital age (Starting Strong). OECD Publishing. https://doi.org/10.1787/50967622-en
  38. OECD. (2025). Trends Shaping Education 2025. OECD Publishing. https://doi.org/10.1787/ee6587fd-en
  39. Oğlakcı, B., & Uzun, A. (2025). A Decade of Artificial Intelligence (AI) and Geography: Bibliometric Insights with AI-Powered Analysis. European Journal of Geography, 16(2), 372–392. https://doi.org/10.48088/ejg.b.ogl.16.2.372.392
  40. Organic Law 3/2020, of December 29, amending Organic Law 2/2006, of May 3. (2020). Official State Gazette, No. 314. https://www.boe.es/eli/es/lo/2020/12/29/3/con
  41. Othman, K. (2023). Towards Implementing AI Mobile Application Chatbots for EFL Learners at Primary Schools in Saudi Arabia. Journal of Namibian Studies: History Politics Culture, 33, 271–287. https://doi.org/10.59670/jns.v33i.434
  42. Prilop, C. N., Mah, D.-K., Jacobsen, L. J., Hansen, R. R., Weber, K. E., & Hoya, F. (2025). Generative AI in teacher educa-tion: Educators’ perceptions of transformative potentials and the triadic nature of AI literacy explored through AI enhanced methods. Computers and Education: Artificial Intelligence, 9, 100471. https://doi.org/10.1016/j.caeai.2025.100471
  43. Piotrowska, I. (2025). Geography as a Compass for Understanding the World. In Piróg, D., Świętek, A. (eds) Future-Ready Geography. Key Challenges in Geography (3-22). Springer. https://doi.org/10.1007/978-3-031-81268-2_1
  44. Qiu, C., Liang, W., Yan, Z., Li, Y., & You, Y. (2022). Research and application of power grid fault diagnosis and auxiliary decision-making system based on artificial intelligence technology. Proceedings of the 2022 7th International Conference on Power and Renewable Energy (ICPRE), 492–497. https://doi.org/10.1109/ICPRE55555.2022.9960335
  45. Robert, J., Muscanell, N., McCormack, M., Pelletier, K., Arnold, K., Arbino, N., Young, K., & Reeves, J. (2025). 2025 EDU-CAUSE Horizon Report: Teaching and Learning Edition. EDUCAUSE.
  46. Roberts, M. (2014). Powerful knowledge and geographical education. The Curriculum Journal, 25(2), 187–209. https://doi.org/10.1080/09585176.2014.894481
  47. Schäfer, M. S. (2023). The Notorious GPT: science communication in the age of artificial intelligence. Journal of Science Communication, 22(02). https://doi.org/10.22323/2.22020402
  48. Sebastian, G., & Sebastian, S. R. (2024). Exploring ethical implications of ChatGPT and other AI chatbots and regulation of disinformation propagation. Annals of Engineering Mathematics and Computational Intelligence, 1, 1–12. https://aemci.net/index.php/research/article/view/2
  49. Solem, M. (2022). Geography Achievement and Future Geographers. The Professional Geographer, 75(2), 207–219. https://doi.org/10.1080/00330124.2022.2081227
  50. Souto González, X. M. (2024). El pensamiento geográfico en la enseñanza y aprendizaje escolar. Boletín de Estudios Geográficos, (122), 94–122. https://doi.org/10.48162/rev.40.051
  51. Souto, X. M. (2018). La geografía escolar: deseos institucionales y vivencias de aula. Boletín de la Asociación de Geógra-fos Españoles, (79). https://doi.org/10.21138/bage.2757
  52. Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial Intelligence in education: AIEd for personalised learning pathways. Electronic Journal of e-learning, 20(5), 639-653. https://doi.org/10.34190/ejel.20.5.2597
  53. Tirado-Olivares, S., Cózar-Gutiérrez, R., González-Calero, J. A., & Dorotea, N. (2024). Evaluating the impact of learning management systems in geographical education in primary school: An experimental study on the importance of learning analytics-based feedback. Sustainability, 16(7), 2616. https://doi.org/10.3390/su16072616
  54. Turing, A. M. (1950). Computing Machinery and Intelligence. Mind, 59(236), 433–460. http://www.jstor.org/stable/2251299
  55. UN Educational, Scientific and Cultural Organization (UNESCO). (2023). Guidance for generative AI in education and research: Advancing innovation while safeguarding integrity. UNESCO. https://doi.org/10.54675/EWZM9535
  56. UN Educational, Scientific and Cultural Organization (UNESCO). (2024). AI competency framework for teachers. UNESCO. https://doi.org/10.54675/ZJTE2084
  57. Wals, A. E. J. (2021). Education for Sustainable Development. In Oxford Bibliographies. Oxford University Press. https://doi.org/10.1093/OBO/9780199756810-0280
  58. Weidlich, J., Gašević, D., Drachsler, H., & Kirschner, P. (2025). ChatGPT in education: An effect in search of a cause. Journal of Computer Assisted Learning, 41(5), e70105. https://doi.org/10.1111/jcal.70105
  59. Yu, H., & Guo, Y. (2023). Generative artificial intelligence empowers educational reform: current status, issues, and prospects. Frontiers in education, 8, 1183162. https://doi.org/10.3389/feduc.2023.1183162