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AI Based Personalized Learning System

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AI Based Personalized Learning System


Rohit Nakade | Aman Dharpure | Jay Tichkule | Smit Chaple | Prof. Rina Shirpurkar



Rohit Nakade | Aman Dharpure | Jay Tichkule | Smit Chaple | Prof. Rina Shirpurkar "AI Based Personalized Learning System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-5, October 2024, pp.811-816, URL: https://www.ijtsrd.com/papers/ijtsrd69454.pdf

This study investigates the creation and application of an artificial intelligence (AI)driven personalized learning system intended to improve learning outcomes by customizing training to each student's needs. The system creates personalized learning paths by analyzing students' learning patterns, preferences, and performance metrics through the use of sophisticated machine learning algorithms. Using a mixed-methods approach, the study combines qualitative input from educators and learners with quantitative data from learning analytics. Preliminary results show notable enhancements in academic achievement, retention, and engagement for system users. The study also addresses ethical issues, the consequences for scalability, and the role of teachers in an increasingly automated learning environment. This study adds to the continuing discussion about the future of education in the digital era by addressing the complexity of personalized learning. Artificial intelligence (AI) has advanced so quickly that it has transformed many industries, most notably education, where individualized learning systems are being used more and more. In order to improve student engagement and learning outcomes, this article investigates the creation and application of an AI-based personalized learning system. The suggested system makes use of machine learning algorithms to assess each user's learning preferences, styles, and performance indicators in order to provide customized learning opportunities. Through the use of real-time feedback, predictive analytics, and adaptive content delivery, the system creates a dynamic learning.

Artificial Intelligence, Personalized Learning, Adaptive Learning Systems, Individual Learning Styles, Learning Outcomes


IJTSRD69454
Volume-8 | Issue-5, October 2024
811-816
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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