ERIC Number: EJ1372354
Record Type: Journal
Publication Date: 2022-Jan
Pages: 9
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-1532-0545
Academic Motivation in Introductory Business Analytics Courses: A Bayesian Approach
Vaziri, Stacey; Vaziri, Baback; Novoa, Luis J.; Torabi, Elham
INFORMS Transactions on Education, v22 n2 p121-129 Jan 2022
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.
Descriptors: Student Motivation, Introductory Courses, Business Administration Education, Data Analysis, Bayesian Statistics, Student Attitudes, Undergraduate Students, Models, Predictor Variables, Student Evaluation of Teacher Performance, Course Evaluation
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A