Academic Motivation in Introductory Business Analytics Courses: A Bayesian Approach

Stacey Vaziri (), Baback Vaziri (), Luis J. Novoa () and Elham Torabi ()
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Stacey Vaziri: Department of Engineering Education, College of Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24601
Baback Vaziri: Department of Computer Information Systems and Business Analytics, College of Business, James Madison University, Harrisonburg, Virginia 22807
Luis J. Novoa: Department of Computer Information Systems and Business Analytics, College of Business, James Madison University, Harrisonburg, Virginia 22807
Elham Torabi: Department of Computer Information Systems and Business Analytics, College of Business, James Madison University, Harrisonburg, Virginia 22807

INFORMS Transactions on Education, 2022, vol. 22, issue 2, 121-129

Abstract: The MUSIC (eMpowerment, Usefulness, Success, Interest, Caring) Model of Academic motivation was developed to help instructors promote student motivation in the classroom. This study examines relationships among student perceptions of motivation and effort compared with their performance in undergraduate business analytics courses. Specifically, the study will attempt to answer the questions of whether students’ scores on the MUSIC model predict or explain effort, academic performance, course rating, and instructor rating. A Bayesian approach to linear regression is used to determine and understand the impact of the MUSIC model components on the aforementioned output measures.

Keywords: Bayesian analysis; MUSIC model; academic motivation; business analytics (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:orited:v:22:y:2022:i:2:p:121-129

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