The Impact of Artificial Intelligence on Personalized Learning in Education: A Systematic Review

The growing application of Artificial Intelligence (AI) in positive education is changing education at a breath-taking speed as it allows for more adaptive and personalised experiences for learners. This paper explores issues related to the application of AI technologies in particular areas, such as adaptive learning systems, intelligent tutoring systems (ITS), analytics IT, automated assessment systems and special education. In addition, it provides more insight into the ethical issues connected to using such technology – issues such as privacy, the autonomy of teachers, and accessibility, among others. According to the PRISMA 2020 Checklist, 46 publications between 2018-2024 have been analysed. The research focuses on learning outcomes based on using artificial intelligence and its ethical implications, whether positive or negative. AI-enabled personalised adaptive-learning systems deliver educational materials according to the specific requirements of a learner, in contrast to ITS systems, which enhance the level of interaction by offering personalised feedback on the spot, which is particularly useful in engaging students with technical subjects. Predictive analytics identifies students who should be intervened with in good time. At the same time, in addition to improving the quality of learning, automated grading systems boost learners' efficiency by giving students instant feedback. It also encourages diversity in learning by catering for different types of learners. Still, some concerns, including algorithmic discrimination and privacy, remain a big issue. The importance of AI in transforming the education system through improving the flexibility and effectiveness of personalised education cannot be understated. Nevertheless, the impending questions of fairness and bias, as well as data security, need to be dealt with in the interest of helping all learners without discrimination.