International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Big Data Analytics in Education: Pathways to Smarter Teaching and Engaged Learning

Author(s) Monika Juneja
Country India
Abstract Abstract
With the rapid rise of digital technologies, colleges and universities now gathers large amount of information about students’ performance, attendance and also their learning patterns. Big Data Analytics (BDA) helps in analyzing this information and enhancing teaching and learning. This paper provides insights as how BDA assists teachers in making more informed decisions, personalized learning experiences and motivates students to be engaged in learning. By keeping track of learners at early level, educators can easily find out their struggles and reduces their dropouts with proper guidance and motivation. The paper also review research from other authors, their practical implementations and both the advantages and limitations of using big data in education. The benefits include better learning and focussed pathways but with some limitations of privacy and security of data. The success of BDA demands responsible use of data with proper ethical practices. In the future, tools like artificial intelligence, machine learning and the Internet of Things (IoT) will open up even more ways to use educational data. It is necessary for teachers and learners to enhance their digital abilities and policy makers should ensure fair policies that makes effective use of analytics. Although big data has full potential to make education more innovative, interactive and personalized but it is always supportive and not a replacement of human values that always remain core of education.
Keywords Keywords: Big Data Analytics, Teaching, Learning, Higher Education, Student Success, Educational Technology
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-09-30
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.56898
Short DOI https://doi.org/g95nm4
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