Teaching Undergraduate Business Students Data Analytics: Differences Between Male & Female F2F-WEB Students

Authors

  • J. Kirk Atkinson Western Kentucky University

DOI:

https://doi.org/10.33423/jhetp.v23i10.6176

Keywords:

higher education, analytics, undergraduates, spreadsheets

Abstract

Utilizing two class sections at a midwestern, public university, undergraduate students received instruction in basic data analytics concepts using SimNet® preparatory assignments with Microsoft Excel®, additional instructional materials, and analytics projects were assigned. Performance on each of the three analytics projects was measured against performance on the preparatory Excel assignments by sex with the intent to prepare students for basic analytics projects. The results of a Pearson correlation indicated for face-toface female learners there was no correlation observed between the first five SimNet projects. There was a statistically significant correlation between SimNet projects 1-5 and analytics project 2. For face-to-face male learners, correlations observed were between the first and second analytics projects and the first and third analytics projects. For female Web learners analytics project, 1 was correlated to SimNet projects 6 - 9 and to analytics project 2. SimNet projects 6 - 9 were correlated to analytics project 2. For male online students, a statistically significant correlation was observed between numerous projects.

Downloads

Published

2023-07-03

How to Cite

Atkinson, J. K. (2023). Teaching Undergraduate Business Students Data Analytics: Differences Between Male & Female F2F-WEB Students. Journal of Higher Education Theory and Practice, 23(10). https://doi.org/10.33423/jhetp.v23i10.6176

Issue

Section

Articles