📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 11, NOVEMBER 2021

Analysis on Indian Education Towards Fully Automated Digitization and Decentralized Education System- A Machine Learning Approach

Dillip Narayan Sahu, Pankajini Sahu

DOI: 10.17148/IJARCCE.2021.101103

Abstract: Education is the major aspect and basis of foundation development in any country. Education directs the right path as well as to build a good human character with all aspect of life. In 2018, India ranked 40th with the score 41.2. In the year 2019, India was on 35th rank on the overall index with a score of 53. This score was based on policy environment, teaching environment and socio-economic environment. National Education Policy NEP-2021 is mainly focused on skill based education system with more flexible learning for the students. Digitization is a way for speed up of the learning process of the students. In this paper, we have analyze the Indian education system in the context of auto digitization and decentralized control through different machine learning data analysis, prediction, feature extraction, classification, visualization tools.

Keywords: Algorithm, Decentralized Education, Digitization, Machine Learning.

How to Cite:

[1] Dillip Narayan Sahu, Pankajini Sahu, “Analysis on Indian Education Towards Fully Automated Digitization and Decentralized Education System- A Machine Learning Approach,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.101103