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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | An Artificial Neural Network Model for Predicting Distance Learning Students Performance in Nigeria |
| Authors Name: | ISIAKA ABDULWAHAB , Adeboje Olawale Timothy , Prof. O.K. Boyinbode |
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| Author Reg. ID: |
IJNRD_212948
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| Published Paper Id: | IJNRD2401320 |
| Published In: | Volume 9 Issue 1, January-2024 |
| DOI: | |
| Abstract: | 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. |
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| Cite Article: | "An Artificial Neural Network Model for Predicting Distance Learning Students Performance in Nigeria", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 1, page no.d148-d152, January-2024, Available :http://www.ijnrd.org/papers/IJNRD2401320.pdf |
| Downloads: | 000118751 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2401320 Registration ID: 212948 Published In: Volume 9 Issue 1, January-2024 DOI (Digital Object Identifier): Page No: d148-d152 Country: Akure, Ondo, Nigeria Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2401320 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2401320 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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