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Generative AI and the Croatian Educational System

               Finally, AI solutions must be accessible and inclusive, designed for use in
             diverse socioeconomic and geographic contexts. Priority should be given
             to creating low-cost, user-friendly tools that function in environments with
             limited connectivity, ensuring that students in underserved areas can also
             benefit.
               By integrating these considerations, generative AI can be a powerful cat-
             alyst for innovation, enhancing learning outcomes, fostering creativity, and
             preparing students for the complexities of the digital age.

             References
             Adadi, A., & Berrada, M. (2018). Peeking inside the black-box: A survey on explainable
                 artificial intelligence (XAI). IEEE Access, 6, 52138–52160.
             CARNET. (n.d.). CARNET Users Conference CUC. https://www.carnet.hr/en/usluga
                 /carnet-users-conference-cuc/
             Chadwick, C., & Muilenburg, L. (2011). Digital storytelling in the science classroom:
                 Using analogies to improve understanding. In M. Koehler & P. Mishra (Eds.),
                 Proceedings of SITE 2011: Society for information technology and teacher education
                 international conference (pp. 1087–1092). Association for the Advancement of
                 Computing in Education.
             Čižmar, Ž. (2024). Umjetna inteligencija i kritičko mišljenje u srednjim školama. Digcomp.
                 https://digcomp.info/umjetna-inteligencija-i-kriticko-misljenje-u-srednjim
                 -skolama/
             Cole, D. (2024, 23 October). The Chinese room argument. In Stanford Encyclopedia Of
                 Philosophy. https://plato.stanford.edu/archives/win2024/entries/chinese-room/
             Doolittle, P. E. (1995). Understanding cooperative learning through Vygotsky’s zone of
                 proximal development. Institute of Education Sciences.
             Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M.,
                 Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busai-
                 di, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., …
                 Wright, R. (2023). Opinion paper: ‘So what if ChatGPT wrote it?’ Multidisciplinary
                 perspectives on opportunities, challenges and implications of generative con-
                 versational AI for research, practice and policy. International Journal of Informa-
                 tion Management, 71, 102642.
             European Commission. (2024). Ongoing reforms and policy developments. https://
                 eurydice.eacea.ec.europa.eu/national-education-systems/croatia/ongoing
                 -reforms-and-policy-developments
             European Data Protection Supervisor. (2024, 3 June). Generative AI and the EUDPR: First
                 EDPS orientations for ensuring data protection compliance when using generative
                 AI systems.






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