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

Year: 2024
Type: article
Abstract: The entry of Artificial Intelligence into e-learning platforms has drastically changed the method of providingand experiencing education. In the present context, where educational institutions and organizations strive tooffer more personalized, adaptive, and engaging learning environments, Artificial Intelligence (AI)technologies have come into being, which can help both. The efficacy and efficiency of educationalprocedures. 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 tomeet the needs of each student in this study as to how AI is changing e-learning systems. AI looks at studentbehaviors, particularly the learning patterns and performance data, and makes real-time changes to thecontent, assessments and feedback that help improve engagement and retention. Furthermore, the study alsolooks at the problems and ethical issues of its use in education on the large scale as it can bring issues relatedto the data privacy, algorithmic fairness and the idea of the erasure of the human part of the teacher. Thispaper also discusses emerging trends and future research directions on AI-powered e-learning, focusing oncreating an inclusive, scalable, and human-centered approach for the technology to work with and for thepedagogical goals. In the end, these innovative practices are meant to contribute to growing AI researchliterature on how AI can fundamentally alter the ways teaching is done and how learning can occur in thefuture.
DOI: 10.5281/zenodo.15335718
Author: Hari Hara Sudheer Patchipulusu, Navya Vattikonda, Anuj Kumar Gupta, Achuthananda Reddy Polu, Bhumeka Narra, and Dheeraj Varun Kumar Reddy Buddula
Language: English
Open Access status: hybrid
OpenAlex ID: W6911928826
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