Prediction of Students performance with Artificial Neural Network using Demographic Traits

08/08/2021
by   Adeniyi Jide Kehinde, et al.
0

Many researchers have studied student academic performance in supervised and unsupervised learning using numerous data mining techniques. Neural networks often need a greater collection of observations to achieve enough predictive ability. Due to the increase in the rate of poor graduates, it is necessary to design a system that helps to reduce this menace as well as reduce the incidence of students having to repeat due to poor performance or having to drop out of school altogether in the middle of the pursuit of their career. It is therefore necessary to study each one as well as their advantages and disadvantages, so as to determine which is more efficient in and in what case one should be preferred over the other. The study aims to develop a system to predict student performance with Artificial Neutral Network using the student demographic traits so as to assist the university in selecting candidates (students) with a high prediction of success for admission using previous academic records of students granted admissions which will eventually lead to quality graduates of the institution. The model was developed based on certain selected variables as the input. It achieved an accuracy of over 92.3 percent, showing Artificial Neural Network potential effectiveness as a predictive tool and a selection criterion for candidates seeking admission to a university.

READ FULL TEXT
research
07/11/2022

A Deep Neural Network-Based Prediction Model for Students’ Academic Performance

Education providers are increasingly using artificial techniques for pre...
research
04/12/2023

A Predictive Model using Machine Learning Algorithm in Identifying Students Probability on Passing Semestral Course

This study aims to determine a predictive model to learn students probab...
research
06/26/2020

An Analysis of Academic Performance of University Students in Namibia

Based on observations it seems that a considerable proportion of univers...
research
07/12/2021

Effects of personality traits in predicting grade retention of Brazilian students

Student's grade retention is a key issue faced by many education systems...
research
03/28/2021

Should College Dropout Prediction Models Include Protected Attributes?

Early identification of college dropouts can provide tremendous value fo...
research
04/09/2011

A Proposed Decision Support System/Expert System for Guiding Fresh Students in Selecting a Faculty in Gomal University, Pakistan

This paper presents the design and development of a proposed rule based ...
research
03/18/2022

Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models

At present, the educational data mining community lacks many tools neede...

Please sign up or login with your details

Forgot password? Click here to reset