The Influencing Factors of the Music Students’ Satisfaction on Blended Learning

Authors

  • Yujie Qu

DOI:

https://doi.org/10.14456/shserj.2024.44
CITATION
DOI: 10.14456/shserj.2024.44
Published: 2024-08-20

Keywords:

Music Student Satisfaction, Blended Learning, Music Education

Abstract

The objectives of doing this research are, to explore the influential factors for blended music students’ satisfaction based on academic literature, to form a conceptual structure and to test the hypotheses related to each potential influential factor in the context of music blended learning, and to assess how these factors influence the music students’ satisfaction. For achieving the objectives, this research uses a quantitative research method, specifically, using confirmatory factor analysis and structural equation modeling method to analyze the survey results data collected from the sample music students from Hunan Normal University. The results of the data analysis show that factors i.e., motivation, learning climate, perceived achievement goals, perceived task value, cognitive engagement, online attitude, and face-to-face attitude, all have positive and significant influenceson music blended learning students’ satisfaction, hence supporting the eight hypotheses raised in the research and making the conceptual structure model valid.

Author Biography

Yujie Qu

Hunan Normal University

References

Akkoyunlu, B., & Yılmaz-Soylu, M. (2008). Development of a scale on learners' views on blended learning and its implementation process. Internet High. Educ., 11(1), 26-32

Alkis, N., & Temizel, T. (2018). The Impact of Motivation and Personality on Academic Performance in Online and Blended Learning Environments. Educational Technology & Society, 21(3), 35-47.

Boelens, R., De Wever, B., & Voet, M. (2017). Four key challenges to the design of blended learning: A systematic literature review. Educational Research Review, 22, 1-18.

Burch, G., Heller, N., Burch, J., Freed, R., & Steed, S. (2015). Student Engagement: Developing a Conceptual Framework and Survey Instrument. Journal of Education For Business, 90(4), 224-229.

Canfield, C., & Zastavker, Y. (2010). Achievement Goal Theory: A Framework for Implementing Group Work and Open-Ended Problem Solving. ASEE/IEEE Frontiers in Education Conference, 1-7.

Cleveland-Innes, M., & Wilton, D. (2018). Guide to Blended Learning. Commonwealth of Learning.

Diep, A., Zhu, C., Struyven, K., & Blieck, Y. (2017). Who or what contributes to student satisfaction in different blended learning modalities?. British Journal of Educational Technology, 48(2), 473-489.

Fisher, R., Perényi, Á., & Birdthistle, N. (2018). The positive relationship between flipped and blended learning and student engagement, performance, and satisfaction. Active Learning in Higher Education, 22(2), 97-113.

Fornell, C., & Larcker, D. (1981). Structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.

Garrison, D., & Vaughan, N. (2012). Community of Inquiry and Blended Learning. Blended Learning in Higher Education.

Garrison, D. R., Anderson, T., & Archer, W. (2000). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2-3), 87-105.

George, D., & Mallery, P. (2003). SPSS for Windows step by step: A simple guide and reference (4th ed.). Allyn & Bacon.

Graham, C. R. (2006). Blended learning systems: Definition, current trends, and future directions. In C. J. Bonk & C. R. Graham (Eds.), Handbook of blended learning Global perspectives local designs (pp. 3-21). John Wiley and Sons.

Greene, B. A., Miller, R. B., Crowson, H. M., Duke, B. L., & Akey, K. L. (2004). Predicting high school students’ cognitive engagement and achievement: Contributions of classroom perceptions and motivation. Contemporary Educational Psychology, 29(4), 462-482.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage.

Halverson, L., & Graham, C. (2019). Learner Engagement in Blended Learning Environments: A Conceptual Framework. Online Learning, 23(2), 145-178.

Hariri, H., Karwan, D. H., Haenilah, E. Y., Rini, R., & Suparman, U. (2021). Motivation and learning strategies: Student motivation affects student learning strategies. European Journal of Educational Research, 10(1), 39-49.

Hergüner, G., Hergüner Son, S., & Dönmez, A. (2020). The Effect of Online Learning Attitudes of University Students on their Online Learning Readiness. TOJET: The Turkish Online Journal of Educational Technology, 19(4), 102-110.

Hilton, R., Moos, C., & Barnes, C. (2020). A Comparative Analysis of Students’ Perceptions of Learning in Online Versus Traditional Courses. E-Journal of Business Education & Scholarship Of Teaching, 14(3), 2-11.

Hrastinski, S. (2019). What Do We Mean by Blended Learning? Techtrends, 63(5), 564-569.

Huang, C. (2021). Using PLS-SEM Model to Explore the Influencing Factors of Learning Satisfaction in Blended Learning. Education Sciences, 11(5), 1-17.

Keengwe, J. (2018). Handbook of Research on Digital Content. IGI Global.

Keržič, D., Tomaževič, N., Aristovnik, A., & Umek, L. (2019). Exploring critical factors of the perceived usefulness of blended learning for higher education students. PLOS ONE, 14(11), e0223767.

Khan, S., Sadia, R., Zahid Hayat, S., & Tahir, S. (2019). Relationship between Academic Boredom, Learning Climate and Academic Motivation among University Students. Pakistan Journal of Psychological Research, 34(3), 621-638.

Kucuk, S., & Richardson, J. C. (2019). A structural equation model of predictors of online learners’ engagement and satisfaction. Online Learning, 23(2), 196-216.

Laksana, K., Busayanon, K., & Mahamarn, Y. (2019). Creating Pre-service Teachers’ Engagement in an Active Learning Journey with Project-based Learning to Become Effective Teachers. Proceedings of the 8th Teaching & Education Conference, Vienna, 224-231.

Lei, S., & Lei, S. (2019). Evaluating Benefits and Drawbacks of Hybrid Courses: Perspectives of College Instructors. Education, 140(1), 1-8.

Li, Y., Yang, H., Cai, J., & MacLeod, J. (2017). College Students’ Computer Self-efficacy, Intrinsic Motivation, Attitude, and Satisfaction in Blended Learning Environments. 10th International Conference, ICBL 2017 Hong Kong, China, 27-29.

Marjanović, M., Comoutos, N., & Papaioannou, A. (2019). The relationships between perceived motivational climate, achievement goals and self-talk in physical education: Testing the mediating role of achievement goals and self-talk. Motivation and Emotion, 43(4), 592-609.

Nah, E., Chone, L., Heng, L., Marimuthu, R., & Terng, H. (2015). Blended to Satisfaction: Factors Influencing Student Satisfaction in a Language Classroom. ESTEEM Academic Journal, 11(2), 55-73.

Nortvig, A., Petersen, A., & Balle, S. (2018). A literature review of the factors influencing e-learning and blended learning in relation to learning outcome, student satisfaction and engagement. Electronic Journal of E-Learning, 16(1), 46-55.

Omar, N., Hassan, H., & Atan, H. (2012). Student Engagement in Online Learning: Learners Attitude Toward E-Mentoring. Procedia - Social and Behavioral Sciences, 67, 464-475.

Pintrich, P. R., Smith, D. R., Garcia, T., & McKeachie, W. J. (1991). A manual for the use of motivated strategies for learning questionnaire. The University of Michigan.

Rahman, N., Hussein, N., & Aluwi, A. (2015). Satisfaction on Blended Learning in a Public Higher Education Institution: What Factors Matter?. Procedia - Social And Behavioral Sciences, 211, 768-775.

Sahin, B., Yilmaz, F., & Lee, K. H. (2006). Factors Affecting Inpatient Satisfaction: Structural Equation Modeling. Journal of Medical Systems, 31(1), 9-16.

Shi, D., DiStefano, C., Maydeu-Olivares, A., & Lee, T. (2021). Evaluating SEM Model Fit with Small Degrees of Freedom. Multivariate Behavioral Research, 57(2-3), 179-207.

Syahputri, V., Rahma, E., Setiyana, R., Diana, S., & Parlindungan, F. (2020). Online learning drawbacks during the Covid-19 pandemic: A psychological perspective. Enjourme (English Journal of Merdeka): Culture, Language, And Teaching Of English, 5(2), 108-116.

Taghizadeh, M., & Hajhosseini, F. (2020). Investigating a Blended Learning Environment: Contribution of Attitude, Interaction, and Quality of Teaching to Satisfaction of Graduate Students of TEFL. The Asia-Pacific Education Researcher, 30(5), 459-469.

Tanti, T., Maison, M., Syefrinando, B., Daryanto, M., & Salma, H. (2020). Students’ self-regulation and motivation in learning science. International Journal of Evaluation and Research in Education (IJERE), 9(4), 865.

Tohidi, H., & Jabbari, M. M. (2011). The effects of motivation in education. Procedia - Social and Behavioral Sciences, 31, 820-824.

Trowler, V. (2010). Student engagement literature review. The Higher Education Academy.

Wu, J., Hsia, T., Liao, Y., & Tennyson, R. (2008). What Determinates Student Learning Satisfaction in a Blended E-learning System Environment?. Conference: Pacific Asia Conference on Information Systems, 124-136.

Wu, J., Tennyson, R., & Hsia, T. (2010). A study of student satisfaction in a blended e-learning system environment. Computers & Education, 55(1), 155-164.

Wu, W., & Hwang, L.-Y. (2010). The effectiveness of e-learning for blended courses in colleges: A multi-level empirical study. International Journal of Electronic Business Management, 8(4), 312-322.

Xiang, H., & Yuan, Z. (2021). Student Satisfaction with the Blended Teaching in an Online Vocal Music Course. International Conference on Information and Education Technology, 186-189.

Xiao, J., Sun‐Lin, H., Lin, T., Li, M., Pan, Z., & Cheng, H. (2020). What makes learners a good fit for hybrid learning? Learning competences as predictors of experience and satisfaction in hybrid learning space. British Journal of Educational Technology, 51(4), 1203-1219.

Zamfir, P. (2020). Online Learning-Paradigm Shift in the Educational Space. Annals of The Constantin Brancusi University of Targu Jiu-Letters & Social Sciences Series, 1(2), 7-12.

Zhang, Y., & Dang, M. (2020). Understanding Essential Factors in Influencing Technology-Supported Learning: A Model toward Blended Learning Success. Journal of Information Technology Education: Research, 19, 489-510.

Zhu, X., & Liu, J. (2020). Education in and After Covid-19: Immediate Responses and Long-Term Visions. Postdigital Science and Education, 2(3), 695-69.

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Published

2024-08-20

How to Cite

Qu, Y. (2024). The Influencing Factors of the Music Students’ Satisfaction on Blended Learning. Scholar: Human Sciences, 16(2), 183-193. https://doi.org/10.14456/shserj.2024.44