An Approach to Predict a Student’s Academic Performance using Recurrent Neural Network (RNN)
Year: 2018
Type: article
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.
Authors: Arindam Mondal, Joydeep Mukherjee
Institution: Jadavpur University
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W2883417809