Automation of Content Delivery in Educational Sector Through Machine Learning

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Neha Upadhyay, Ajay Jain

Abstract

Machine learning, a subset of Artificial Intelligence (AI), is a technology that enables computers or teaching machines to learn from and make informed decisions based on a large amount of prior data. The machine learning framework involves the capture and storage of a large amount of data and its transformation into a comprehensive knowledge base for various applications in various areas. In the educational field, machine learning can be used to save time in non-school activities. For instance, virtual assistants can be employed by teachers to work remotely from home for their students. This type of assistance can help to improve the learning experience of students and can lead to an increase in progression and student success. Machine learning also facilitates personalized learning within the educational system. AI advancements are allowing teachers to gain a better understanding of their students' learning progress, allowing them to create tailored curriculums that meet the individual needs of their learners. When used in the education sector, AI can also facilitate the moderation of intelligence.

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How to Cite
Neha Upadhyay. (2023). Automation of Content Delivery in Educational Sector Through Machine Learning. International Journal on Recent and Innovation Trends in Computing and Communication, 11(11), 1349–1353. Retrieved from https://mail.ijritcc.org/index.php/ijritcc/article/view/10802
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