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MUSIC Model of MotivationMUSIC Model of Motivation
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The MUSIC Model Research Lab

The purpose of the MUSIC Model Research Lab is to investigate the motivational climate in learning environments (such as activities, classes, online courses) to create inclusive and equitable learning experiences for students. The motivational climate is defined as “the aspects of the psychological environment that affect students’ motivation and engagement within a course” (Jones et al., 2022, p. 1), which include the five MUSIC model components. Research indicates that the MUSIC components of the motivational climate are related to students’ engagement (e.g., effort), domain identification, and instructor and course ratings.

Researchers from around the world have affiliated with the lab and are conducting many different types of research. Some researchers have used the model to design instruction and to assess the outcomes on students’ motivation. Others have used the model to assess students’ perceptions and how these perceptions are related to other constructs and outcomes. Yet others have worked with Dr. Jones to translate the MUSIC Inventory to other languages.

Brett Jones, PhD

Brett Jones, PhD

MUSIC Model Lab Director

Professor, Virginia Tech

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Books

— Jones, B. D. (2018). Motivating students by design: Practical strategies for professors (2nd ed.). CreateSpace. https://vtechworks.lib.vt.edu/handle/10919/102728

— Ormrod, J. E., & Jones, B. D. (2023). Essentials of educational psychology: Big ideas to guide effective teaching (6th ed.). Pearson.

Summary of Research with Abstracts

— A summary with abstracts of the research produced by the MUSIC Model Lab and other researchers is available here.

Funded Research Projects

— Motivating Students in Computer Science

— Training Teaching Assistants (TAs) to Motivate Students

Research publications by the MUSIC Model Research Lab

(click on the publications; they are in reverse chronological order)

  1. Ellis, M., Jones, B. D., Gu, F., & Fenerci, H. (2024). Designing an effective motivational climate: Effects on students’ effort and achievement. International Journal for the Scholarship of Teaching and Learning, 18(1), Article 9. https://digitalcommons.georgiasouthern.edu/ij-sotl/vol18/iss1/9
  2. Jones, B. D., Topuz, K., & Sahbaz, S. (2024). Predicting undergraduate student evaluations of teaching using probabilistic machine learning: The importance of motivational climate. Studies in Educational Evaluation, 81, Article 101353. https://doi.org/10.1016/j.stueduc.2024.101353
  3. Byrnes, M. K., Jones, B. D., & Holt Foerst, E. M. (2024). Examining the motivational climate and student effort in professional competency courses: Suggestions for improvement. Journal of Veterinary Medical Education, 51(3), 326-348. https://doi.org/10.3138/jvme-2022-0100. 
  4. Jones, B. D., Ellis, M., Gu, F., & Fenerci, H. (2023). Motivational climate predicts effort and achievement in a large computer science course: Examining differences across sexes, races/ethnicities, and academic majors. International Journal of STEM Education, 10, Article 65. https://doi.org/10.1186/s40594-023-00457-0
  5. Jones, B. D., Wilkins, J. L. M., Schram, Á. B., Gladman, T., Kenwright, D., & Lucio-Ramírez, C. A. (2023). Validating a measure of motivational climate in health science courses. BMC Medical Education, 23, Article 548. https://doi.org/10.1186/s12909-023-04311-3
  6. Jones, B. D., Byrnes, M. K., & McKenzie, H. (2023). An affective assessment intervention to improve the motivational climate in courses. International Journal of Teaching and Learning in Higher Education, 35(1), 229-239. https://www.isetl.org/ijtlhe/ijtlhe-article-view.php?mid=4453
  7. Jones, B. D., Khajavy, G. H., Li, M., Mohamed, H. E., & Reilly, P. (2023). Examining the cross-cultural validity of the MUSIC Model of Academic Motivation Inventory in English language courses. SAGE Open, 13(1), 1-16. https://journals.sagepub.com/doi/full/10.1177/21582440231156583
  8. Jones, B. D., & Zhu, X. (2022). The effects of syllabus statements on students’ perceptions of the motivational climate in a course. International Journal for the Scholarship of Teaching and Learning, 16(3), Article 3. https://doi.org/10.20429/ijsotl.2022.160303
  9. Jones, B. D., & Wilkins, J. L. M. (2022). Validating the MUSIC Model of Academic Motivation Inventory: Evidence for the short forms of the college student version. Journal of Psychoeducational Assessment. https://doi.org/10.1177/07342829221121695
  10. Li, M., Jones, B. D., Williams, T. O., & Guo, Y. (2022). Chinese students’ perceptions of the motivational climate in college English courses: Relationships between course perceptions, engagement, and achievement. Frontiers in Psychology, 13, Article 853221. https://doi.org/10.3389/fpsyg.2022.853221
  11. 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, 8(1), 1-17. https://journals.sagepub.com/doi/10.1177/23328584211073167
  12. Jones, B. D., Fenerci-Soysal, H., & Wilkins, J. L. M. (2022). Measuring the motivational climate in an online course: A case study using an online survey tool to promote data-driven decisions. Project Leadership & Society, 3, Article 100046. https://doi.org/10.1016/j.plas.2022.100046
  13. Munz, S., & Jones, B. D. (2021). Increasing athletes’ engagement and performance using the MUSIC Model of Motivation. Journal of Contemporary Athletics, 15(4), 263-281.
  14. 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
  15. Topuz, K., Jones, B. D., Sahbaz, S., & Moqbel, M. (2021). Methodology to combine theoretical knowledge with a data-driven probabilistic graphical model. Journal of Business Analytics, 4(2), 125-139. https://doi.org/10.1080/2573234X.2021.1937351
  16. Wilkins, J. L. M., Jones, B. D., & Rakes, L. (2021). Students’ class perceptions and ratings of instruction: Variability across undergraduate mathematics courses. Frontiers in Psychology, 12, Article 576282. https://doi.org/10.3389/fpsyg.2021.576282
  17. Jones, B. D. (2020). Engaging second language learners using the MUSIC Model of Motivation. Frontiers in Psychology, 11(1204), 1-6. doi:10.3389/fpsyg.2020.01204
  18. Jones, B. D., Biscotte, S., & Harrington Becker, T. (2020). Using a motivation model and student data to redesign general education courses: An examination of a faculty development approach. Journal of General Education, 69(3-4), 235-250. https://doi.org/10.5325/jgeneeduc.69.3-4.0235
  19. Jones, B. D. (2020). Motivating and engaging students using educational technologies. In M. J. Bishop, E. Boling, J. Elen, & V. Svihla. (Eds.), Handbook of Research in Educational Communications and Technology: Learning Design (5th ed., pp. 9-35). Cham, Switzerland: Springer. doi:10.1007/978-3-030-36119-8_2
  20. Jones, B. D. (2020). Using the MUSIC Model of Motivation to engage students. The Virginia English Journal, 69(2), 5-7.
  21. Li, M., Jones, B. D., Cao, G., & Wang, D. (2020). The effects of edutainment strategies on student motivation and engagement in college EFL classes. In Z. Pan, A. Cheok, W. Müller, & M. Zhang (Eds.), Transactions on Edutainment XVI (pp. 3-12). Springer: Berlin.
  22. Mullins, B., Jones, B. D., & LaCroix, T. J. (2020). Designing for and assessing students’ motivation in mathematics classes. Illinois Mathematics Teacher, 65(1).
  23. Jones, B. D., Biscotte, S., & Harrington Becker, T. (2020). Using a motivation model and student data to redesign general education courses: An examination of a faculty development approach. Journal of General Education, 69(3-4), 235-250. https://doi.org/10.5325/jgeneeduc.69.3-4.0235
  24. Saperstein, A. M., Jones, B. D., Hansen, M. C., & Medalia, A. (2020). The Cognitive Training version of the MUSIC® Model of Motivation Inventory: A follow-up validity study. Schizophrenia Research. Available online January 7, 2020. doi:10.1016/j.schres.2019.12.027
  25. Chittum, J. R., Jones, B. D., & Carter, D. M. (2019). A person-centered investigation of patterns in college students’ perceptions of motivation in a course. Learning and Individual Differences, 69, 94-107. doi:10.1016/j.lindif.2018.11.007
  26. Hansen, M. C., Jones, B. D., Eack, S. M., Glenthoj, L. B., Ikezawa, S., Iwane, T., …Medalia, A. (2019). Validation of the MUSIC Model of Motivation Inventory for use with cognitive training for schizophrenia spectrum disorders: A multinational study. Schizophrenia Research, 206, 142-148. doi:10.1016/j.schres.2018.11.037
  27. Jones, B. D., Byrnes, M. K., & Jones, M. W. (2019). Validation of the MUSIC Model of Academic Motivation Inventory: Evidence for use with veterinary medicine students. Frontiers in Veterinary Science, 6(11), 1-9. doi:10.3389/fvets.2019.00011
  28. Jones, B. D. (2019). Testing the MUSIC Model of Motivation Theory: Relationships between students’ perceptions, engagement, and overall ratings. The Canadian Journal for the Scholarship of Teaching and Learning, 10(3), 1-15.
  29. Jones, B. D., & Carter, D. (2019). Relationships between students’ course perceptions, engagement, and learning. Social Psychology of Education: An International Journal, 22, 819-839. doi:10.1007/s11218-019-09500-x
  30. Li, M., & Jones, B. D. (2019). Transforming traditional teaching: A professional development program for the college EFL teachers. Theory and Practice in Language Studies, 9(12), 1494-1500. doi:10.17507/tpls.0912.05
  31. Jones, B. D. (2018). Motivating students by design: Practical strategies for professors (2nd ed.). CreateSpace. https://vtechworks.lib.vt.edu/handle/10919/102728
  32. LaCroix, T. J., Jones, B. D., & Triggs, K. (2018). Assessing high school students’ motivation in the mathematics classroom. Virginia Mathematics Teacher, 45(1), 33-40.
  33. Chittum, J., & Jones, B. D. (2017). Identifying pre-high school students’ science class motivation profiles to increase their science identification and persistence. Journal of Educational Psychology. Advance online publication. doi:10.1037/edu0000176
  34. Chittum, J. R., Jones, B. D., Akalin, S., & Schram, A. B. (2017). The effects of an afterschool STEM program on students’ motivation and engagement. International Journal of STEM Education, 4(11), 1-16. doi:10.1186/s40594-017-0065-4
  35. Evans, M. A., Jones, B. D., & Akalin, S. (2017). Using video game design to motivate students. Afterschool Matters, 26, 18-26.
  36. Jones, B. D., Li, M., & Cruz, J. M. (2017). A cross-cultural validation of the MUSIC® Model of Academic Motivation Inventory: Evidence from Chinese- and Spanish-speaking university students. International Journal of Educational Psychology, 6(1), 366-385. doi:10.17583/ijep.2017.2357.
  37. Jones, B. D., Sahbaz, S., Schram, A. B., & Chittum, J. R. (2017). Using psychological constructs from the MUSIC Model of Motivation to predict students’ science identification and career goals: Results from the U.S. and Iceland. International Journal of Science Education. Advance online publication. doi:10.1080/09500693.2017.1319093
  38. Mora, C. E., Anorbe-Diaz, B., Gonzalez-Marrero, A. M., Martin-Gutierrez, J., & Jones, B. D. (2017). Motivational factors to consider when introducing problem-based learning in engineering education courses. International Journal of Engineering Education, 33(3), 1000-1017.
  39. Tu, H.-W., Jones, B. D. (2017). Redesigning a neuroscience laboratory course for multiple sections: An action research project to engage students. The Journal of Undergraduate Neuroscience Education, 15(2), A137-A143.
  40. Evans, M. A., Schnittka, C., Jones, B. D., & Brandt, C. B. (2016). Studio STEM: A model to enhance integrative STEM literacy through engineering design. In L. A. Annetta, & J. Minogue (Eds.), Connecting science and engineering education practices in meaningful ways (pp. 107-137). Switzerland: Springer. doi:10.1007/978-3-319-16399-4_5
  41. Gardner, A. F., & Jones, B. D. (2016). Examining the Reggio Emilia approach: Keys to understanding why it motivates students. Electronic Journal of Research in Educational Psychology, 14(3), 602-625.
  42. Jones, B. D. (2016). Teaching motivation strategies using the MUSIC® Model of Motivation as a conceptual framework. In M. C. Smith, & N. DeFrates-Densch (Eds.), Challenges and innovations in educational psychology teaching and learning (pp. 123-136). Charlotte, NC: Information Age Publishing.
  43. Jones, B. D., & Sigmon, M. L. (2016). Validation evidence for the elementary school version of the MUSIC® Model of Academic Motivation Inventory. Electronic Journal of Research in Educational Psychology, 14(1), 155-174.
  44. Jones, B. D., & Skaggs, G. E. (2016). Measuring students’ motivation: Validity evidence for the MUSIC Model of Academic Motivation Inventory. International Journal for the Scholarship of Teaching and Learning, 10(1).
  45. Jones, B. D., Tendhar, C., & Paretti, M. C. (2016). The effects of students’ course perceptions on their domain identification, motivational beliefs, and goals. Journal of Career Development, 43(5), 383-397. doi:10.1177/0894845315603821
  46. Schram, A. B., & Jones, B. D. (2016). A cross-cultural adaptation and validation of the Icelandic version of the MUSIC Model of Academic Motivation Inventory. Icelandic Journal of Education, 25(2), 159-181.
  47. Chittum, J. R., & Jones, B. D. (2015). Motivating students to engage during reading instruction: Intentionally designing instruction using a model of academic motivation. Ohio Reading Teacher, 45(1), 29-40.
  48. Jones, B. D., Chittum, J. R., Akalin, S., Schram, A. B., Fink, J., Schnittka, C.,…Brandt, C. (2015). Elements of design-based science activities that affect students’ motivation. School Science and Mathematics, 115(8), 404-415. doi:10.1111/ssm.12143
  49. Jones, B. D., Ruff, C., & Osborne, J. W. (2015). Fostering students’ identification with mathematics and science. In K. A. Renninger, M. Nieswandt, & S. Hidi (Eds.), Interest in mathematics and science learning (pp. 331-352). Washington, DC: American Educational Research Association. doi: 10.3102/978-0-935302-42-4_19
  50. Parkes, K., Jones, B. D., & Wilkins, J. (2015). Assessing music students’ motivation using the MUSIC Model of Academic Motivation Inventory. UPDATE: Applications of Research in Music Education. Advance online publication. doi:10.1177/8755123315620835
  51. Evans, M. A., Jones, B. D., & Biedler, J. (2014). Video games, motivation, and learning. In F. C. Blumberg (Ed.), Learning by playing: Video gaming in education (pp. 273-289). New York, NY: Oxford University Press.
  52. Jones, B. D., Osborne, J. W., Paretti, M. C., & Matusovich, H. M., (2014). Relationships among students’ perceptions of a first-year engineering design course and their engineering identification, motivational beliefs, course effort, and academic outcomes. International Journal of Engineering Education, 30(6A), 1340-1356.
  53. McGinley, J. J., & Jones, B. D. (2014). A brief instructional intervention to increase students’ motivation on the first day of class. Teaching of Psychology, 41(2), 158-162. doi:10.1177/0098628314530350
  54. Hall, S., Jones, B. D., Amelink, C., & Hu, D. (2013). Educational innovation in the design of an online nuclear engineering curriculum. The Journal of Effective Teaching, 13(2), 58-72.
  55. Jones, B. D., Epler, C. M., Mokri, P., Bryant, L. H., & Paretti, M. C. (2013). The effects of a collaborative problem-based learning experience on students’ motivation in engineering capstone courses. Interdisciplinary Journal of Problem-based Learning, 7(2), 34-71. doi:10.7771/1541-5015.1344
  56. Jones, B. D., & Wilkins, J. L. M. (2013). Testing the MUSIC Model of Academic Motivation through confirmatory factor analysis. Educational Psychology: An International Journal of Experimental Educational Psychology, 33(4), 482-503. doi:10.1080/01443410.2013.785044
  57. Mohamed, H. E., Soliman, M. H., & Jones, B. D. (2013). A cross-cultural validation of the MUSIC Model of Academic Motivation and its associated inventory among Egyptian university students. Journal of Counseling Quarterly Journal, 36, 2-14.
  58. Jones, B. D., Ruff, C., Snyder, J. D., Petrich, B., & Koonce, C. (2012). The effects of mind mapping activities on students’ motivation. International Journal for the Scholarship of Teaching and Learning, 6(1), 1-21.
  59. Jones, B. D., Watson, J. M., Rakes, L., & Akalin, S. (2012). Factors that impact students’ motivation in an online course: Using the MUSIC Model of Academic Motivation. Journal of Teaching and Learning with Technology, 1(1), 42-58.
  60. Schnittka, C. G., Brandt, C. B., Jones, B. D., & Evans, M. A. (2012). Informal engineering education after school: Employing the studio model for motivation and identification in STEM domains. Advances in Engineering Education, 3(2), 1-31.
  61. 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.
  62. Jones, B. D. (2009). Motivating students to engage in learning: The MUSIC Model of Academic Motivation. International Journal of Teaching and Learning in Higher Education, 21(2), 272-285.

Meet the Affiliates (scroll right to see more)

Jay Wilkins, PhD

Jay Wilkins, PhD

Affiliate

Professor, School of Education, Mathematics Education Program, Virginia Tech, U.S.

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Lee Rakes, PhD

Lee Rakes, PhD

Affiliate

Director of Institute Assessment and Evaluation, Virginia Military Institute, U.S.

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Carlos Efrén Mora, PhD

Carlos Efrén Mora, PhD

Affiliate

Assistant Professor, Polytechnic School of Engineering, University of La Laguna, Canary Islands

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Saylor Bane, MA

Saylor Bane, MA

Affiliate

Doctoral Student, School of Education, Educational Psychology Program, Virginia Tech, U.S.

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Asta Schram, PhD

Asta Schram, PhD

Affiliate

Director of Pedagogy, School of Health Sciences, University of Iceland, Iceland

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Zeynep Ambarkutuk, BS

Zeynep Ambarkutuk, BS

Affiliate

Doctoral Student, School of Education, Educational Psychology Program, Virginia Tech, U.S.

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Stephen Biscotte, PhD

Stephen Biscotte, PhD

Affiliate

Assistant Provost for Undergraduate Education, Virginia Tech, U.S.

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Hanaa E. M. A. Hussein, PhD

Hanaa E. M. A. Hussein, PhD

Affiliate

Professor, Educational Psychology Department, Fayoum University, Egypt

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Fei Gu, PhD

Fei Gu, PhD

Affiliate

Assistant Professor, School of Education, Educational Research and Evaluation, Virginia Tech, U.S.

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Alice Medalia, PhD

Alice Medalia, PhD

Affiliate

Professor, Director of Psychiatric Rehabilitation Services, Columbia University, U.S.

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Sumeyra Sahbaz, PhD

Sumeyra Sahbaz, PhD

Affiliate

Post-doctoral Fellow and Program Manager for the Center for Immigrant Health and Education, Oklahoma State University, U.S.

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Jessica Chittum, PhD

Jessica Chittum, PhD

Affiliate

Director of Assessment and Pedagogical Innovation, Association of American Colleges and Universities, U.S.

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Hande Fenerci-Soysal, MA

Hande Fenerci-Soysal, MA

Affiliate

Doctoral Student, School of Education, Educational Psychology Program, Virginia Tech, U.S.

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Stephan Munz, PhD

Stephan Munz, PhD

Affiliate

Athletics BW/German Athletics Association, Stuttgart, Germany

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Juan M. Cruz, PhD

Juan M. Cruz, PhD

Affiliate

Assistant Professor, Experiential Engineering Education Department (ExEED), Rowan University

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Kazim Topuz, PhD

Kazim Topuz, PhD

Affiliate

Assistant Professor of Business Analytics & Operations Management in the Collins College of Business, Tulsa University, U.S.

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Gholam Hassan Khajavy, PhD

Gholam Hassan Khajavy, PhD

Affiliate

Assistant Professor, Department of Foreign Languages, University of Bojnord, Iran

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Meghan Byrnes, PhD, DVM

Meghan Byrnes, PhD, DVM

Affiliate

Dept. of Small Animal Clinical Sciences, VA-MD College of Veterinary Medicine, Virginia Tech, U.S.

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Peter Reilly

Peter Reilly

Affiliate

Professor, English Foreign Language (EFL), Universidad Panamericana, Campus Bonaterra, Mexico

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Yasuo Miyazaki, PhD

Yasuo Miyazaki, PhD

Affiliate

Professor, Educational Research and Evaluation, School of Education, Virginia Tech, U.S.

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Margaret Ellis, MS

Margaret Ellis, MS

Affiliate

Associate Professor of Practice, Computer Science, Virginia Tech, U.S.

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Ming Li, PhD

Ming Li, PhD

Affiliate

Associate Professor, School of Foreign Languages, Shanghai University of Engineering Science, Songjiang, Shanghai, China

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