Opportunities and Limitations of Using Artificial Intelligence to Personalize E-Learning Platforms

Abstract

The entry of Artificial Intelligence into e-learning platforms has drastically changed the method of providing and experiencing education. In the present context, where educational institutions and organizations strive to offer more personalized, adaptive, and engaging learning environments, Artificial Intelligence (AI) technologies have come into being, which can help both. The efficacy and efficiency of educational procedures. Artificial Intelligence (AI) through Natural Language Processing (NLP), Learning Analytics (LA), and Educational Data Mining (EDM) are used to customize learning with tailored learning paths to meet the needs of each student in this study as to how AI is changing e-learning systems. AI looks at student behaviors, particularly the learning patterns and performance data, and makes real-time changes to the content, assessments and feedback that help improve engagement and retention. Furthermore, the study also looks at the problems and ethical issues of its use in education on the large scale as it can bring issues related to the data privacy, algorithmic fairness and the idea of the erasure of the human part of the teacher. This paper also discusses emerging trends and future research directions on AI-powered e-learning, focusing on creating an inclusive, scalable, and human-centered approach for the technology to work with and for the pedagogical goals. In the end, these innovative practices are meant to contribute to growing AI research literature on how AI can fundamentally alter the ways teaching is done and how learning can occur in the future.