Data Analytics in the financial statement audit: Assessing its active learning effects on student performance

Abstract

The purpose of this study is to determine the impact that completing a data analytics (DA) assignment has on student learning in a financial statement audit course. The growing implementation of DA in financial auditing, the need for those entering the profession to possess higher order thinking skills, and the ability to perform analysis tasks makes our study timely and relevant. Two groups of students are compared for their exam performance in a financial statement audit course, with one group completing an IDEA assignment after the first exam and other not doing so. Results show that student performance on the second and third exams improved for those who completed the assignment but there was no similar improvement for those who did not. Our results suggest that there is value in using DA in a financial statement auditing course. This should be appealing both to accounting education and to the audit profession due to the implication that graduates would be better prepared to meet the growing demands for higher order thinking and DA skills.