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An Approach to Predict a Student’s Academic Performance using Recurrent Neural Network (RNN)

by Arindam Mondal, Joydeep Mukherjee
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 6
Year of Publication: 2018
Authors: Arindam Mondal, Joydeep Mukherjee
10.5120/ijca2018917352

Arindam Mondal, Joydeep Mukherjee . An Approach to Predict a Student’s Academic Performance using Recurrent Neural Network (RNN). International Journal of Computer Applications. 181, 6 ( Jul 2018), 1-5. DOI=10.5120/ijca2018917352

@article{ 10.5120/ijca2018917352,
author = { Arindam Mondal, Joydeep Mukherjee },
title = { An Approach to Predict a Student’s Academic Performance using Recurrent Neural Network (RNN) },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2018 },
volume = { 181 },
number = { 6 },
month = { Jul },
year = { 2018 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number6/29717-2018917352/ },
doi = { 10.5120/ijca2018917352 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:05:09.936685+05:30
%A Arindam Mondal
%A Joydeep Mukherjee
%T An Approach to Predict a Student’s Academic Performance using Recurrent Neural Network (RNN)
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 6
%P 1-5
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Educational Data Mining able to gain a handsome amount of attention of the researcher of educational technology in recent times. In this paper, Recurrent Neural Network (RNN) is used to predict a student’s final result. RNN is a variant of neural network that can handle time series data. The final term class is predicted using the first and second term class along with fifteen others features of a student. This analysis help the teacher to identify the students, who are ‘at risk’ and based on that he can offer proper remedy to them. In this paper, a comparison based study is also made with Artificial Neural Network and Deep Neural Network with the proposed Recurrent Neural Network.

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Index Terms

Computer Science
Information Sciences

Keywords

Educational Data Mining Recurrent Neural Network (RNN) Artificial Neural Network (ANN) Deep Neural Network (DNN)

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