Leveraging Big Data for Educational Improvement: Opportunities, Challenges, and Future Directions

Author:

Prof. Bhanumathi S 1,Tejas S Kumar 1,Tharun P C 1

Affiliation:

1. S. J. C Institute of Technology, Chickballapur, India

Abstract

Big Data analysis in education has the potential to enhance student academic performance by providing personalized learning experiences. By collecting and analyzing student behaviour and performance data, educators can identify areas where students are struggling and develop targeted interventions to help them improve their learning outcomes. For instance, educators can use big data to identify each student’s learning style and tailor their teaching methodology to suit their needs. This personalized approach can enhance student engagement and motivation, leading to improved academic performance. Big Data can also be used to improve the grading system by eliminating manual grading errors and providing objective and accurate grading based on data analysis. Using automated grading systems allows educators to save time and reduce grading bias, leading to fairer and more consistent grading practices. This can also help educators identify areas where students need additional support, and provide targeted feedback to help students improve their performance. Big Data can also be used to reduce dropout rates by providing early warning indicators to identify students who are at risk of dropping out. By analyzing data on attendance, grades, and other factors, educators can identify students who may be struggling and provide targeted support to help them succeed. This can help reduce dropout rates and improve student retention rates. Overall, the use of Big Data analysis in education has numerous benefits, including enhancing student academic performance, improving grading practices, increasing student engagement and motivation, and reducing dropout rates. However, it is important to ensure that student privacy and data security are prioritized in the use of Big Data in education. By taking a responsible and ethical approach, educators and institutions can harness the power of Big Data to improve the quality of education and prepare students for success in the future

Publisher

Naksh Solutions

Subject

General Medicine

Reference9 articles.

1. AMR A. MUNSHI AND AHMAD ALHINDI, "Big Data Platform for Educational Analytics", Received February 28, 2021, accepted March 31, 2021, date of publication April 2, 2021, date of current version April

2. 12, 2021.

3. Digital Object Identifier 10.1109/ACCESS.2021.3070737.Abdullah M. Alghamdi, Fahad A. Alghamdi, "Enhancing Performance of Educational Data Using Big Data and Hadoop", International Journal of Applied Engineering Research ISSN 0973-4562 Volume 14, Number 19 (2019) pp. 3814-3819 © Research India Publications. http://www.ripublication.com

4. Tasmin, R., Muhammad, R. N, and A. H. Nor Aziati, "Big Data Analytics Applicability in Higher Learning Educational System", International Conference on Technology, Engineering, and Sciences (ICTES)2020

5. C.J. Hutto Eric Gilbert, "VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text", Georgia Institute of Technology, Atlanta, GA30032 cjhutto@gatech.edu gilbert@cc .gatech.edu

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