 JomDataMining: academic performance and learning behaviour dubious relationshipY.K. AdrianChin, P.S. JosephNg, H.C. Eaw, Y.F. Loh and A.S. Shibghatullah International Journal of Business Information Systems, 2022, vol. 41, issue 4, 548-568 Abstract: This study contemplates the connection between undergraduate learning conduct and their academic performance by utilising the instructive data mining strategy. Tinto's model and Austin's model are utilised in the study, together with emotional conduct components to define an expectation of the undergraduate academic performance. Respondent's segment data, social polls and their present cumulative grade point average outcomes was gathered utilising a blended technique of surveys and numerous interviews. Correlational plan will be utilised to interpret the study's learning conduct and their academic performance. The selected samples of this study will be in private learning centre. Positive after effect of this study has delineated the connection between student's behaviour and practices influencing their academic performance. The findings of this study enabled a more effective classroom planning and reduction of conflicts among students. Keywords: university; students academic performance; Tinto's model; decision tree; data mining; prediction of student's performance; learning behaviour; emotional behaviour; educational; CGPA. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbisy:v:41:y:2022:i:4:p:548-568 Access Statistics for this article More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd |
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