A comparison of different study load classifications and their association to student performance: an exploratory study
Perera, Luckmika, Kanapathippillai, Sutharson and Wines, Graeme 2016, A comparison of different study load classifications and their association to student performance: an exploratory study, Asian review of accounting, vol. 24, no. 2, pp. 134-148, doi: 10.1108/ARA-02-2014-0022.
Attached Files
Name
Description
MIMEType
Size
Downloads
Title
A comparison of different study load classifications and their association to student performance: an exploratory study
Purpose – The purpose of this paper is to investigate the alternative study load measures (dichotomous full-time/part-time classification and the number of units enrolled) and their association to student performance by using student data from a final year accounting unit in a large Australian university.
Design/methodology/approach – Using regression analysis, the authors compare the two measures to ascertain the explanatory power of the two approaches in explaining student performance.
Findings – A positive association is found between study loads and student performance when using the “number of units enrolled” measure. This relationship was not found when the dichotomous measure (full-time vs part-time) was used. The results suggest that a scaled measure of study loads is a better measure compared to a binary (dichotomous) measure.
Research limitations/implications – The study will assist future researchers to better control for study loads, and also to gain a better understanding of the association between study loads and student performance. This may possibly assist educational institutions and academics to use a more appropriate pedagogical design in the structure of courses when determining study load allocations across the different cohorts.
Practical implications – This study will help in methodology of future researchers controlling for study loads and student performance. Originality/value – The study adds to existing literature by providing an alternate study load measure in methodology for controlling for student performance.
Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.