An Artificial Neural Network Model for Predicting Distance Learning Students Performance in Nigeria

Registration ID: IJNRD_212948

Published ID: IJNRD2401320

DOI: Click Here to Get

ISIAKA ABDULWAHAB , Adeboje Olawale Timothy , Prof. O.K. Boyinbode

The impact of education can never be underrated in every developed country. People acquire knowledge through education by different means, either by distance learning or online learning, or traditional conventional system. Distance learning education in Nigeria is primarily aimed for people to learn at their convenience outside the confines of the four walls of the traditional conventional system of education. The accurate prediction of distance learning student academic performance is of importance to institutions as it provides valuable information for decision making in the admission process and enhances educational services. Machine learning has been promising solution in prediction, therefore, this research has developed predictive model for predicting the performance of distance learning student, by the use of machine learning using Artificial Neural Network model. The data used in the developed system took into consideration factors that may affect distance learning student academic performance such as the students in their secondary school, cramming ability, assimilation rate, recall ability, financial strength etc. The data were pre-processed and trained with the Artificial Neural Network using gradient decent for backward propagation. The developed model was tested and evaluated using standard metrics and at the end, the result of the evaluation shows better performance in computational time, Mean Square Error, Root Mean Square Error and Correlation Coefficient.

Published Paper   E-Certificate

ISIAKA ABDULWAHAB, Adeboje Olawale Timothy, & Prof. O.K. Boyinbode (January-2024). An Artificial Neural Network Model for Predicting Distance Learning Students Performance in Nigeria. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(1), d148-d152. https://ijnrd.org/papers/IJNRD2401320.pdf

Volume 9 Issue 1, January-2024

Pages : d148-d152

Paper Reg. ID: IJNRD_212948

Published Paper Id: IJNRD2401320

Downloads: 000121973

Research Area: Computer Science & Technology 

Country: Akure, Ondo, Nigeria

Published Paper PDF: https://ijnrd.org/papers/IJNRD2401320.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2401320

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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