Title: JomDataMining: academic performance and learning behaviour dubious relationship

Authors: Y.K. AdrianChin; P.S. JosephNg; H.C. Eaw; Y.F. Loh; A.S. Shibghatullah

Addresses: Faculty of Business and Information Science, UCSI University, No. 1, Jalan Menara Gading, UCSI Heights, 56000 Cheras, Kuala Lumpur, Malaysia ' Faculty of Business and Information Science, UCSI University, No. 1, Jalan Menara Gading, UCSI Heights, 56000 Cheras, Kuala Lumpur, Malaysia ' Faculty of Business and Information Science, UCSI University, No. 1, Jalan Menara Gading, UCSI Heights, 56000 Cheras, Kuala Lumpur, Malaysia ' Faculty of Business and Information Science, UCSI University, No. 1, Jalan Menara Gading, UCSI Heights, 56000 Cheras, Kuala Lumpur, Malaysia ' Faculty of Business and Information Science, UCSI University, No. 1, Jalan Menara Gading, UCSI Heights, 56000 Cheras, Kuala Lumpur, Malaysia

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.

DOI: 10.1504/IJBIS.2022.127555

International Journal of Business Information Systems, 2022 Vol.41 No.4, pp.548 - 568

Received: 07 Oct 2019
Accepted: 28 Feb 2020
Published online: 09 Dec 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article