MUSIC Model of Motivation in 30 College Courses - 2022

Principal Investigator(s):  View help for Principal Investigator(s) Brett Jones, Virginia Tech; Yasuo Miyazaki, Virginia Tech; Mengyun Li, Virginia Tech; Stephen Biscotte, Virginia Tech

Version:  View help for Version V1

Name File Type Size Last Modified
Explanation of variables in dataset.pdf application/pdf 125.9 KB 12/18/2021 10:04:AM
MUSIC data for 30 courses - anonymous to share.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 373.9 KB 12/18/2021 09:54:AM
ReadMe.pdf application/pdf 81 KB 12/18/2021 10:17:AM

Project Citation: 

Jones, Brett, Miyazaki, Yasuo, Li, Mengyun, and Biscotte, Stephen. MUSIC Model of Motivation in 30 College Courses - 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-12-18. https://doi.org/10.3886/E157861V1

Project Description

Summary:  View help for Summary Student evaluations of teaching (SETs) are important at most colleges and universities. One purpose of this study was to determine the extent to which motivational climate was associated with SETs. Another purpose was to determine whether course ease was associated with SETs. Participants included 2,949 undergraduate students from 30 courses at a large public university. Using hierarchical linear modeling, we examined the extent to which students’ motivation-related course perceptions (empowerment/autonomy, usefulness, success expectancies, situational interest, and caring) related to SETs at the student and class level. SETs were highly associated with motivational climate. Furthermore, easier courses were rated lower by students when controlling for motivational climate and the demographical composition of the class. These findings highlight the association between the motivational climate and SETs and suggest that one way to improve SETs may be for instructors to focus on improving the motivational climate rather than making the course easier. For more details, see this article: Jones, B. D., Miyazaki, Y., Li, M., & Biscotte, S. (2022). Motivational climate predicts student evaluations of teaching: Relationships between students’ course perceptions, ease of course, and evaluations of teaching. AERA Open.
  • Jones, B. D., Miyazaki, Y., Li, M., & Biscotte, S. (2022). Motivational climate predicts student evaluations of teaching: Relationships between students’ course perceptions, ease of course, and evaluations of teaching. AERA Open.

Scope of Project

Subject Terms:  View help for Subject Terms student motivation; student evaluations of teaching; course evaluation; grading leniency; MUSIC Model of Motivation; motivational climate; class climate; student engagement

Methodology

Response Rate:  View help for Response Rate see Jones, B. D., Miyazaki, Y., Li, M., & Biscotte, S. (2022). Motivational climate predicts student evaluations of teaching: Relationships between students’ course perceptions, ease of course, and evaluations of teaching. AERA Open.
Sampling:  View help for Sampling see Jones, B. D., Miyazaki, Y., Li, M., & Biscotte, S. (2022). Motivational climate predicts student evaluations of teaching: Relationships between students’ course perceptions, ease of course, and evaluations of teaching. AERA Open.
Data Source:  View help for Data Source Web-based survey; see the "Scales" section
Collection Mode(s):  View help for Collection Mode(s) web-based survey
Scales:  View help for Scales MUSIC® Model of Academic Motivation Inventory (Jones, 2012/2020)
Instructor rating (Jones, 2010)
Course rating (Jones, 2010)
Ease of Course scale (Jones et al., 2021)

References
Jones, B. D. (2010). An examination of motivation model components in face-to-face and online instruction. Electronic Journal of Research in Educational Psychology, 8(3), 915-944.
Jones, B. D. (2012/2020). User guide for assessing the components of the MUSIC® Model of Motivation. http://www.theMUSICmodel.com
Jones, B. D., Krost, K., & Jones, M. W. (2021). Relationships between students’ course perceptions, effort, and achievement in an online course. Computers and Education Open, 2, Article 100051. https://doi.org/10.1016/j.caeo.2021.100051
Weights:  View help for Weights n/a

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V1 [2021-12-18]

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