Improving media education through the application of artificial intelligence
DOI:
https://doi.org/10.71159/icemit2529SKeywords:
education, media literacy, artificial intelligence, law, ethicsAbstract
Under the influence of rapid technological advancements, traditional education is undergoing significant transformation and adaptation to meet labor market demands. Personalization, interactivity, and applicability are key factors driving these changes. In this context, media literacy requires an interdisciplinary approach to ensure an understanding of the evolving roles of traditional and digital media on one hand, and the application of artificial intelligence with all its technical, legal, and ethical challenges on the other. Artificial intelligence should contribute to reducing inequalities in access to knowledge and education, while the role of education is expected to create a platform for key AI competencies by fostering shared interests and understanding, maximizing accessibility for teachers and students while minimizing potential risks. The paper emphasizes support for teachers and media creators in their joint efforts to establish higher-quality media education while strengthening future research directions toward the positive effects of the multilayered connection between artificial intelligence, education, and the media industry.
References
Abdujabbarovna Samigova, G. (2023).The Importance of Artificial Intelligence in Modern Media Education Technologies in Institutions of Higher Education. International Journal of Current Science Research and Review, 6(12), 7735-7742. https://doi.org/10.47191/ijcsrr/V6-i12-50
Baltazarević, B. (2024). The Future of Education – The Importance of Ethical Frameworks and Cultural Sensitivity. Baština, 63, 453-459. https://doi.org/10.5937/bastina34-51313
Chen, B., Zhou, J., & Zhang, H. (2025). The Media Spatial Diffusion Effect and Distribution Characteristics of AI in Education: An Empirical Analysis of Public Sentiments Across Provincial Regions in China. Applied Sciences, 15(6), 3184. https://doi.org/10.3390/app15063184
Hussein H, Gordon M, Hodgkinson C, Foreman R, Wagad S. (2025). ChatGPT’s Impact Across Sectors: A Systematic Review of Key Themes and Challenges. Big Data and Cognitive Computing, 9(3), 56.
https://doi.org/10.3390/bdcc9030056
Journalists' Union of Serbia. (2024, April 25). Artificial intelligence and unions in the media: How together?
Kennedy, K. (2023, December 21). AI literacy framework. https://kennedyhq.com/wp/2023/12/21/ai-literacy-framework/
Law on the Foundations of the Education System. Official Gazette of the RS, no. 88/17, 27/18 - other laws, 10/19, 6/20, 129/21 and 92/23.
Law on Higher Education. Official Gazette of the RS, no. 88/17, 27/18- other laws, 67/19, 6/20 - other laws, 11/21 – authentic interpretation, 67/21 and 76/23.
Mandić, D. A New Paradigm of Education and Potentials of Artificial Intelligence. Napredak – Journal of political theory and practice, 5(2), 83-96, 2024. https://doi.org/10.5937/napredak5-51939
National AI Platform. (2025). The strategy for the development of artificial intelligence in the Republic of Serbia for the period from 2025 to 2030 has been adopted. https://www.ai.gov.rs/vest/sr/1503/usvojena-strategija-za-razvoj-vestacke-inteligencije-u-republici-srbiji-za-period-od-2025-do-2030-godine.php
Petrović, D. (2024). Challenges of applying artificial intelligence in the media sphere. Kultura, 184, 41-55. https://doi.org/10.5937/kultura2484041P
Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2018/1139 and (EU) 2019/2144 and Directives 2014/90/EU, (EU) 2016/797 and (EU) 2020/1828 (Artificial Intelligence Act). Official Journal of the European Union.
Sančanin, B., Penjišević, A., & Bakmaz, O. (2025). The Impact of Artificial Intelligence on the Redefinition of the Journalism Profession. 4th Scientific Conference “The Balkans on Jahorina – Challenges for the Present and the Future of Work Processes”.
Saklaki, A., & Gardikiotis, A. (2024). Exploring Greek Students’ Attitudes Toward Artificial Intelligence: Relationships with AI Ethics, Media, and Digital Literacy. Societies, 14(12), 248. https://doi.org/10.3390/soc14120248
Sarkar, S., Ghosh, A. (2024). Leveraging Artificial Intelligence to Enhance Media Literacy and Combat Misinformation. Journal of Novel Research and Innovative Development, 2(9), 163-187. https://doi.org/10.2139/ssrn.4991258
Stanford University. (2024). AI literacy framework. https://teachingcommons.stanford.edu/teaching-guides/artificial-intelligence-teaching-guide/understanding-ai-literacy
Strategy for the Development of Artificial Intelligence in the Republic of Serbia for the Period 2025-2030, Official Gazette of the RS, no. 5/25.
Tomić, B., Bajić, P. (2024). Artificial Intelligence, Media and Journalism: Between Good People and Bad Masters. CM:Communication and Media XIX(1), 107–125. https://doi.org/10.5937/cm19-48811
UNESCO. (2024). Artificial intelligence in education. https://www.unesco.org/en/digital-education/artificial-intelligence
University of San Diego. (n.d.). 39 examples of artificial intelligence in education. https://onlinedegrees.sandiego.edu/artificial-intelligence-education/
Vujović, D. (2024). Generative AI models – harnessing another technological revolution. Ekonomika preduzeća, 72(1-2), 125-136. https://doi.org/10.5937/EKOPRE2402125V
Vuksanović, D. (2024). Media literacy in the era of artificial intelligence: time for a critical shift. CM:Communication and Media XIX(2), 217–218.
Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T, Du, Z. (2024). Artificial intelligence in education: A systematic literature review, Expert Systems With Applications, 252, 124167. https://doi.org/10.1016/j.eswa.2024.124167
Wang, W., Liu, Z. (2024). Using Artificial Intelligence – based Collaborative Teaching in Media Learning. Frontiers in Psychology, 12, 713943. https://doi.org/10.3389/fpsyg.2021.713943
Wen, Y., Zhao, X., Li, X., & Zang, Y. (2025). Attitude Mining Toward Generative Artificial Intelligence in Education: The Challenges and Responses for Sustainable Development in Education. Sustainability, 17(3), 1127. https://doi.org/10.3390/su17031127
Downloads
Published
How to Cite
Conference Proceedings Volume
Section
License
Copyright (c) 2025 International Scientific Conference on Economics, Management and Information Technologies

This work is licensed under a Creative Commons Attribution 4.0 International License.