Volume/Issue :

Article type :

Original article

Page No :

8-18

Abstract :

Artificial intelligence (AI) is transforming how knowledge is created, accessed, and shared in education. The integration of AI into teaching and learning environments reshapes key areas such as personalised learning, automated assessment and feedback, virtual tutoring, and administrative automation. Core technologies including machine learning, deep learning, and natural language processing enable adaptive learning experiences, intelligent content generation, and efficient management of educational processes. In combination with emerging technologies such as augmented reality, virtual reality, and 3D printing, AI supports interactive, creative, and experiential learning. Furthermore, this concept paper analyses how AI interacts with other emerging technologies, including augmented reality, virtual reality, and 3D printing, to foster interactive and experiential learning environments. Ethical challenges such as privacy, equity of access, algorithmic bias, and transparency are also critically examined. The findings highlight the need for responsible and inclusive implementation of AI in education to maximise its benefits and mitigate potential risks.

Keywords :

artificial intelligence in education, personalised learning, virtual tutoring, automated assessment, ethical considerations

References :

Anđić, B. (2025a). Artificial intelligence and deepfake learning in higher education. Journal of Baltic Science Education, 24(1), 4–6. https://dx.doi.org/10.33225/jbse/25.24.04
Anđić, B., Lavicza, Z., Ulbrich, E., Cvjetićanin, S., Petrović, F., & Maričić, M. (2024). Contribution of 3D modelling and printing to learning in primary schools: A case study with visually impaired students from an inclusive biology classroom. Journal of Biological Education, 58(4), 795–811. https://doi.org/10.1080/00219266.2022.2118352
Anđić, B., Ulbrich, E., Dana-Picard, T., Cvjetićanin, S., Petrović, F., Lavicza, Z., & Maričić, M. (2023). A phenomenography study of STEM teachers’ conceptions of using three-dimensional modeling and printing (3DMP) in teaching. Journal of Science Education and Technology, 32(1), 45–60. https://link.springer.com/article/10.1007/s10956-022-10005-0
Anđić, B., Weinhandl, R., Maričić, M., & Dünser, B. (2025b). Pre-service biology teachers as developers of mobile augmented reality teaching materials: Enhancing, not replacing, science practices and connections with the natural environment. Thinking Skills and Creativity, Article 102019. https://doi.org/10.1016/j.tsc.2025.102019
Holmes, W., & Miao, F. (2023). Guidance for generative AI in education and research. UNESCO Publishing. https://unesdoc.unesco.org/ark:/48223/pf0000386693
Kasuk, T., Leoste, J., Savova, A., Andjic, B., & Fenyvesi, K. (2024, September). Design and Pilot Implementation of Telepresence Robots in Higher Education Courses. In International Conference on Interactive Collaborative Learning (pp. 253-264). Springer Nature Switzerland. https://link.springer.com/chapter/10.1007/978-3-031-83520-9_25
Maričić, M., Anđić, B., Mumcu, F., Marić, M., Gordić, S., Ranitović, M. G., & Cvjetićanin, S. (2025). Enhancing student engagement through instructional STEAM learning activities and the self-explanation effect. Eurasia Journal of Mathematics, Science and Technology Education, 21(1), Article em2560. https://doi.org/10.29333/ejmste/15798
Maričić, M., Anđić, B., Soeharto, S., Mumcu, F., Cvjetićanin, S., & Lavicza, Z. (2024). The exploration of continuous teaching intention in emerging-technology environments through perceived cognitive load, usability, and teachers’ attitudes. Education and Information Technologies, 29, 1–30. https://doi.org/10.1007/s10639-024-13141-9
Maričić, M., Cvjetićanin, S., Andevski, M., & Anđić, B. (2023). Effects of withholding answers coupled with physical manipulation on students’ learning of magnetism-related science content. Research in Science & Technological Education, 41(4), 1596–1616. https://doi.org/10.1080/02635143.2022.2066648
Mueller, J. P., & Massaron, L. (2021). Machine learning for dummies. John Wiley & Sons.
Russell, S. J., & Norvig, P. (2016). Artificial intelligence: A modern approach. Pearson.
UNESCO Institute for Information Technologies in Education. (2020). Artificial intelligence: Media and information literacy, human rights and freedom of expression (I. Shnurenko, T. Murovana, & I. Kushchu, Eds.). UNESCO Institute for Information Technologies in Education.
Yadav, S. P., Mahato, D. P., & Linh, N. T. D. (Eds.). (2020). Distributed artificial intelligence: A modern approach. CRC Press.
Yan, L., Greiff, S., Teuber, Z., & Gašević, D. (2024). Promises and challenges of generative artificial intelligence for human learning. Nature Human Behaviour, 8(10), 1839–1850. https://www.nature.com/articles/s41562-024-02004-5

Cite as :

Andič, B. (2025). Artificial intelligence in the classroom: Theoretical and practical considerations. Gamtamokslinis ugdymas / Natural Science Education, 22(1), 08–18. https://doi.org/10.48127/gu-nse/25.22.08