The Use of Artificial Intelligence in Personalizing Learning Experiences at Schools
DOI:
https://doi.org/10.59175/pijed.v4i1.372Keywords:
Artificial Intelligence (AI), Personalized Learning, SchoolsAbstract
The implementation of personalized learning often faces obstacles, especially related to the workload of teachers who have to manage the learning needs of many students simultaneously. In this situation, AI comes as an innovative solution. This study uses a literature review approach to explore the use of Artificial Intelligence (AI) in personalizing learning experiences in schools. Literature review was chosen as the main method because it allows researchers to analyze and synthesize various previous studies, both theoretical and empirical, in order to build a comprehensive understanding. Data in this study were collected through a systematic review of secondary sources, including journal articles, books, research reports, and policy documents related to the use of AI in education. Literature searches were conducted using academic databases such as Google Scholar, ScienceDirect, Springer, and ProQuest, with relevant keywords such as “Artificial Intelligence in Education”, “Personalized Learning with AI”, and “Educational Technology Implementation”. This study found that AI has great potential to improve the personalization of learning experiences in schools. With its ability to analyze student data in real-time, AI can provide learning experiences that are tailored to individual needs, learning styles, and levels of understanding. This allows teachers to identify areas that require special attention and provide relevant materials, accelerate the learning process, and improve academic outcomes. To support the implementation of AI in education, clear policies are needed and training support for teachers is needed so that they can make optimal use of this technology. In addition, investment in adequate technological infrastructure is also very important so that AI can be effectively integrated into the learning process. Collaboration between the government, educational institutions, and technology parties is key to achieving this goal.
References
Ajuwon, O. A., Animashaun, E. S., & Chiekezie, N. R. (2024). Integrating AI and technology in educational administration: Improving efficiency and educational quality. Open Access Research Journal of Science and Technology, 11(2), 116–127. https://doi.org/10.53022/oarjst.2024.11.2.0102
Arya, R., & Verma, A. (2024). Role of Artificial Intelligence in Education. International Journal of Advanced Research in Science, Communication and Technology, 12(1), 589–594. https://doi.org/10.48175/IJARSCT-19461
Benayache, S., & Mourad, B. (2024). Influences Personalisation and Student Engagement in the AI Era: Exploring Effects and Influences. International Journal of Innovative Science and Research Technology (IJISRT), 34(2), 2771–2782. https://doi.org/10.38124/ijisrt/IJISRT24SEP1667
Byakodi, R. (2024). Use of AI in India and International Education in Developmental Countries. International Journal for Research in Applied Science and Engineering Technology, 12(9), 684–685. https://doi.org/10.22214/ijraset.2024.64252
Farooqi, M. T. K., Amanat, I., & Awan, S. M. (2024). Ethical Considerations and Challenges in the Integration of Artificial Intelligence in Education: A Systematic Review. Journal of Excellence in Management Sciences, 3(4), 35–50. https://doi.org/10.69565/jems.v3i4.314
Geada, N. (2024). Artificial Intelligence (pp. 226–244). https://doi.org/10.4018/979-8-3693-1758-7.ch012
Glushkova, T., & Malinova, A. (2023). Advantages, Problems and Challenges in the Application of AI Technologies in School Education (pp. 45–56). https://doi.org/10.34916/el.2023.15.04
Gu, P. (2024). Enhancing Educational Outcomes by Boosting Artificial Intelligence Application in Personalized Learning. Science Insights Education Frontiers, 24(1), 3831–3833. https://doi.org/10.15354/sief.24.co346
Kaswan, K. S., Dhatterwal, J. S., & Ojha, R. P. (2024). AI in personalized learning. In Advances in Technological Innovations in Higher Education (pp. 103–117). CRC Press. https://doi.org/10.1201/9781003376699-9
Ma, D., Akram, H., & Chen, H. (2024). Artificial Intelligence in Higher Education: A Cross-Cultural Examination of Students’ Behavioral Intentions and Attitudes. The International Review of Research in Open and Distributed Learning, 25(3), 134–157. https://doi.org/10.19173/irrodl.v25i3.7703
Madhu, N. ., Latha, P. ., & Savitha, N. (2024). Revolutionizing Education: Harnessing AI for Personalized Learning Pathways and Student Success. International Journal For Multidisciplinary Research, 6(5), 1–10. https://doi.org/10.36948/ijfmr.2024.v06i05.28371
Mehak, R. K., & Mehta, A. (2023). Artificial Intelligence. International Journal of Advanced Research in Science, Communication and Technology, 24(2), 20–30. https://doi.org/10.48175/IJARSCT-9466
Mishra, S. (2024). Transformative Impact of AI on Education: Personalizing Learning and Addressing Challenges. International Journal for Research in Applied Science and Engineering Technology, 12(8), 1183–1189. https://doi.org/10.22214/ijraset.2024.63891
Mykhaylenko, V., Safonova, N., Ilchenko, R., Ivashchuk, A., & Babik, I. (2024). Using artificial intelligence to personalise curricula and increase motivation to learn, taking into account psychological aspects. Data and Metadata, 3(1), 1–10. https://doi.org/10.56294/dm2024.241
Paliwal, R. (2024). Applications of AI (Artificial Intelligence) In Diagnosis of Breast Cancer. International Journal For Multidisciplinary Research, 6(5), 1–10. https://doi.org/10.36948/ijfmr.2024.v06i05.27787
Pocock, G., & Hugh, M. (1993). Artificial intelligence. In Applications of Artificial Intelligence in Chemistry. Oxford University Press. https://doi.org/10.1093/hesc/9780198557364.003.0001
Qureshi, R., Hajare, S., & Verma, P. (2024). A Review on the Role of Artificial Intelligence in Personalized Learning. 2024 Asia Pacific Conference on Innovation in Technology (APCIT), 1–5. https://doi.org/10.1109/APCIT62007.2024.10673706
Rekha, K., Gopal, K., Satheeskumar, D., Anand, U. A., Doss, D. S. S., & Elayaperumal, S. (2024). Ai-Powered Personalized Learning System Design: Student Engagement And Performance Tracking System. 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 1125–1130. https://doi.org/10.1109/ICACITE60783.2024.10617155
Sahito, Z. H., Sahito, F. Z., & Imran, M. (2024). The Role of Artificial Intelligence (AI) in Personalized Learning: A Case Study in K-12 Education. Global Educational Studies Review, IX(III), 153–163. https://doi.org/10.31703/gesr.2024(IX-III).15
Singh, M. T., Reddy, K. K., Murthy, R., Ag, A., & Doss, S. (2024). AI and Education: Bridging the Gap to Personalized, Efficient, and Accessible Learning. In Internet of Behavior-Based Computational Intelligence for Smart Education Systems (pp. 131–160). https://doi.org/10.4018/979-8-3693-8151-9.ch005
Sytnyk, L., & Podlinyayeva, O. (2024). AI in education: main possibilities and challenges. InterConf, 45(201), 569–579. https://doi.org/10.51582/interconf.19-20.05.2024.058
Tilepbergenovna, U. A. (2024). The Role Of Artificial Intelligence In Education. International Journal of Pedagogics, 4(10), 184–187. https://doi.org/10.37547/ijp/Volume04Issue10-32
Tomlinson, C. A. (2001). How to Differentiate Instruction in Mixed-Ability Classrooms. Pearson Education.
Walsh, B. (2023). AI Case Studies. In Productionizing AI (pp. 247–288). Apress. https://doi.org/10.1007/978-1-4842-8817-7_8
Weng, Y., Wu, J., Kelly, T., & Johnson, W. (2024). Comprehensive Overview of Artificial Intelligence Applications in Modern Industries. https://doi.org/10.20944/preprints202409.1638.v1
Yamijala, S. M. S., Chodisetty, R. S. C. M., Chakravorty, C., & Sai, K. P. (2024). AI-Powered Learning Revolutionizing Smart Education With Personalized Learning Styles (pp. 191–212). https://doi.org/10.4018/979-8-3693-8151-9.ch007
Yao, K. Y. E., Wang, E. Y., Lei, X., & Xu, B. (2024). Industrial Applications of Artificial Intelligence Technologies and Their Socio-economic Impacts. Advances in Economics and Management Research, 11(1), 184–190. https://doi.org/10.56028/aemr.11.1.184.2024
Yılmaz, Ö. (2024). Personalised learning and artificial intelligence in science education: current state and future perspectives. Educational Technology Quarterly, 2024(3), 255–274. https://doi.org/10.55056/etq.744
Zahra, S. R., & Parisa, Z. (2024). Digital dynamics: Exploring the intersection of AI, animation, and personalized learning. I-Manager’s Journal of Educational Technology, 21(1), 1–10. https://doi.org/10.26634/jet.21.1.20850
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