UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Volume 12 Issue 10
October-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2510037


Registration ID:
570081

Page Number

a300-a305

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Title

TRANSFORMING STUDENT ASSESSMENT WITH BIG DATA TOOLS AND TECHNIQUES IN THE FIELD OF HIGHER EDUCATION IN INDIA.

Abstract

Big data the word itself suggests that the data sets are exceptionally big and complicated in nature. A range of datasets are included in big data. It is challenging to process these data sets with conventional data processing methods. For example, the amount of student data in the education sector makes it very challenging to track student performance using traditional data processing techniques. In India, millions of students graduate each year. India has now surpassed China in terms of population and is now the most populous country in the world. In addition to the population growth, the number of kids enrolling in school is rising annually. Because of the amount and velocity of the data sets, it is difficult to monitor student performance in the field of education. Monitoring student performance is crucial for all educational establishments. Additionally, it is crucial that parents are aware of their child's academic progress. This can be facilitated by employing big data analytics as a tool to monitor student performance. Educational institutions can use big data analytics as a tool instead of heavily depending on traditional tools. One of the hallmarks of big data is its enormous volume, which can be measured in petabytes or exabytes. The pace of the datasets, which is rising due to the expansion of sources like social media platforms, is another characteristic. The student performance datasets come in a variety of formats, including semi-structured, unstructured, and structured data.

Key Words

Traditional tools, education sector, students performance, data sets, big data, analytical tools.

Cite This Article

"TRANSFORMING STUDENT ASSESSMENT WITH BIG DATA TOOLS AND TECHNIQUES IN THE FIELD OF HIGHER EDUCATION IN INDIA.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 10, page no.a300-a305, October-2025, Available :http://www.jetir.org/papers/JETIR2510037.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"TRANSFORMING STUDENT ASSESSMENT WITH BIG DATA TOOLS AND TECHNIQUES IN THE FIELD OF HIGHER EDUCATION IN INDIA.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 10, page no. ppa300-a305, October-2025, Available at : http://www.jetir.org/papers/JETIR2510037.pdf

Publication Details

Published Paper ID: JETIR2510037
Registration ID: 570081
Published In: Volume 12 | Issue 10 | Year October-2025
DOI (Digital Object Identifier):
Page No: a300-a305
Country: Mysore, Karnataka, India .
Area: Management
ISSN Number: 2349-5162
Publisher: IJ Publication


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