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A Literature Review on School Student Interest using Datamining Algorithms

Explore –Journal of Research

                                    Peer Reviewed Journal

     ISSN 2278–0297 (Print)

                                                                                                ISSN 2278–6414 (Online)

                Vol. XIV No. 2, 2022

© Patna Women’s College, Patna, India

                                                         https://patnawomenscollege.in/explore-journal-of-research/

A Literature Review on School Student Interest using Datamining   Algorithms

•   Khushbu Agrawal      •   Bhavana Narain

Received                                   : April 2022

Accepted                                   : May 2022

Corresponding Author   : Khushbu Agrawal

Abstract : The educational performance plays a vital role in the classification of the student in school education. The student performance effect various factor like learning process, personal and social. This paper demonstrates the impact of student positive or negative performance of student success. With the help of data mining algorithm we predict the student dropout rate, which is helpful for academic progress. For this

we have reviewed various papers in three section algorithms, tools and dataset. These literatures help us to frame our technical work which will be continued in our future work.

Keywords : student performance, prediction, classification algorithm, data mining, academic performance

Khushbu Agrawal

Research Scholar,

MATS School of Information Technology,

MATS University, Raipur (c.g.), India

Email-id : khushi9r@gmail.com

 

Bhavana Narain

Professor,

MATS School of Information Technology,

MATS University, Raipur c.g.), India

Email-id : narainbhawna@gmail.com