Academic Motivation in Introductory Business Analytics Courses: A Bayesian Approach

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.