Title: GMDH-SHELL-DS AS A TOOL FOR EDUCATIONAL IMPROVEMENT: AN ANALYTICAL APPROACH TO STUDENT SUCCESS
Authors: Aiyegbusi Akinyemi Edward, Ebisin Aderonke Foluso, Abimbola Olayemi Grace, & Adedokun Akeem Ademola
Affiliation: 
Department of Computer Science, College of Information and Technology Education, Lagos State University of Education, Lagos Nigeria
Ogun State Institute of Technology, Igbesa Nigeria
Abstract:

In the rapidly evolving landscape of education, data-driven strategies have become paramount in fostering student success. Group Method of Data Handling (GMDH) Shell-DS, an advanced analytical tool, presents a novel approach to addressing educational challenges by leveraging predictive modelling and optimization techniques. This paper explores the potential of GMDH-Shell-DS in enhancing educational outcomes, focusing on its application in identifying key factors influencing student success, optimizing learning strategies, and improving overall educational quality. Through a comprehensive analysis, the paper demonstrates how GMDH-Shell-DS can be a transformative tool for educators, administrators, and policymakers aiming to elevate educational standards

Keywords: GMDH-Shell-DS, Data Handler, Data-Driven Strategies, Student Success, Educational Improvement
DOI: https://doi.org/10.61646/IJCRAS.vol.3.issue5.93
Date of Publication: 19-10-2024
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Published Volume and Issue: Volume 3 Issue 5 Sep-Oct 2024