Machine Learning approach for Overcoming Challenges in traditional education and Enhancing Educational Experiences


EOI: 10.11242/viva-tech.01.05.001

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Citation

Pradnya Mhatre, Dr. Kelapati Poonia,"Machine Learning approach for Overcoming Challenges in traditional education and Enhancing Educational Experiences", VIVA-IJRI Volume 1, Issue 7, Article 1, pp. 1-14, 2023. Published by Master of Computer Application Department, VIVA Institute of Technology, Virar, India.

Abstract

The delivery of tailored and efficient learning experiences is frequently hampered by the fundamental problems that traditional education institutions encounter. In order to overcome these obstacles and usher in a new era of education that is adaptive, data-driven, and customized to the various needs of individual learners, this study investigates the application of machine learning (ML). Teachers may overcome the constraints of conventional teaching techniques and adapt their lessons to the individual learning preferences, styles, and speeds of each student by utilizing the power of machine learning algorithms. At the institutional level, machine learning (ML) supports data-driven decision-making by assisting teachers in forecasting enrolment trends, modifying curriculum designs, and effectively allocating resources. In the current day, predictive analytics with machine learning algorithms has emerged as a new tool to help academic institutions increase student retention and success rates as well as gain an overview of performance prior to exams to lower the chance of failure. Ethical considerations, privacy concerns, and cooperative efforts between educators and technologists are stressed as we investigate the potentials of machine learning in education.

Keywords

data-driven decision making, immersive learning environment, Machine Learning, predictive analytics, traditional education

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