Predicting Students’ Academic Performances – A Learning Analytics Approach using Multiple Linear Regression

Abstract

See, stats, and : https : / / www . researchgate. net / publication / 312512177 Predicting ' Academic – A Linear Article DOI : 10 . 5120 / ijca2017912671 CITATIONS 0 READS 96 2 , including : Some : StudyLab Dantala University 13 SEE All . The . All - text and , letting . ABSTRACT Learning Analytics is an area of Information Systems research that integrates data analytics and data mining techniques with the aim of enhancing knowledge management and learning delivery in education management . . The current research proposes a framework to administer prediction of Students Academic Performance using Learning Analytics techniques . The research illustrates how this model is used effectively on secondary data collected from the Department of Computer Science , University of Jos , Nigeria . Multiple Linear Regression was used with the aid of the Statistical Package for Social Sciences (SPSS) analysis tool . Statistical Hypothesis testing was then used to validate the model with a 5% level of significance .