Scopus Indexed Publications

Paper Details


Title
A Web Based Four-Tier Architecture using Reduced Feature Based Neural Network Approach for Prediction of Student Performance
Author
Md. Anwar Hossen, Arman Ul Alam, Md. Shohel Arman, Rakib Bin Alamgir, Shah Fahad Hossain,
Email
anwar.swe@diu.edu.bd
Abstract
Enhancing student's performance is a significant part of developing quality education in any educational institute. It is very difficult to get promising student performance without student categorization according to their academic performance as there are different standardized students. In this paper, our aim is to determine the performance of the students. For this purpose, a survey has been conducted on students in our university in order to collect data and to analyze and predict the student category based on their performance. Apart from this, another purpose of this study is to examine the effect of the reduced features on the classification model using state-of-art machine learning algorithms. Here, we propose a workflow of web-based four-tier architecture for the student performance prediction that will define the student's category in order to help them exactly pinpoint their learning capabilities. Hence, we used multiple supervised learning-based machine learning techniques for the prediction of student performance. Each of the student category categorized by considering on the top features. The analysis results indicate that we got the highest performance that is 88.00% by using the Artificial Neural Network (ANN) among the classifiers by showing its superiority to the existing model.
Keywords
neural network , academic performance , chi2 , web architecture , supervised learning
Journal or Conference Name
2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)
Publication Year
2021
Indexing
scopus