Loading…

A Study on Predicting Undergraduate's Improvement of Academic Performances based on their Characteristics of Learning and Approaches at a Private Higher Educational Institution

The study is to assess undergraduates’ characteristics of learning and their approaches to learning and studying, which provide a valuable estimation of their improvement percentages in their academic performance at the university. One hundred and sixty undergraduates from a particular degree progra...

Full description

Saved in:
Bibliographic Details
Published in:Procedia, social and behavioral sciences social and behavioral sciences, 2013-10, Vol.93, p.1957-1965
Main Authors: Hun, Tan Lay, Loy, Chong Kim, Hansaram, Ram Milah@Simranpreet Kaur
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The study is to assess undergraduates’ characteristics of learning and their approaches to learning and studying, which provide a valuable estimation of their improvement percentages in their academic performance at the university. One hundred and sixty undergraduates from a particular degree programme in this study were selected based on the results of their academic performances for the past several semesters. The undergraduates’ individual results were then converted into percentages of improvement. A survey method using questionnaires was employed. The questionnaire focussed on the undergraduates’ characteristics as learners and approaches which they used to learning and studying while undergoing the programme of study. The results of the questionnaires were analysed according to categories, such as the individual's characteristics as learners and their approaches to learning. A correlation matrix was used in order to study how these characteristics of the learners and their approaches to learning affect the undergraduates’ academic performance improvement (in percentages). Measurement of variance inflation factors (VIF) was also carried out to examine any significant multicollinearity between the independent variables. Based on the statistical value established, a model of estimating undergraduates’ academic performance improvement was formulated using multiple regression analysis. With this research, we found that we are able to estimate the individual undergraduates’ academic improvement percentage that reflects the characteristics of learners and their specific approaches to their studies.
ISSN:1877-0428
1877-0428
DOI:10.1016/j.sbspro.2013.10.148