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Exploring the Prerequisites for Developing a Blended Instructional Model in Undergraduate Music Education
DOI:
https://doi.org/10.30564/fls.v7i2.8213Abstract
This study utilized a mixed-methods approach to explore the essential elements for creating a blended instructional model tailored for undergraduate music education students. The study involved 200 students from the Department of Music and Dance at Guangxi University of Foreign Languages, Nanning, China, and four faculty members with 5–10 years of teaching experience. Data collection included the Survey of Blended Learning for Music Students, which assessed students’ prior online learning experiences, attitudes, and perceptions of blended learning, and semi-structured interviews with faculty to provide qualitative insights into blended learning practices. The results revealed that 90.5% of students had prior online learning experience, with 53% preferring a blended learning format. Students appreciated the flexibility and efficiency of blended learning, particularly for its ability to enhance knowledge acquisition and skill development. However, some challenges emerged, including issues with self-discipline and engagement in the online environment. Faculty interviews highlighted both advantages and challenges of blended teaching, including barriers to quick adaptation and the need for increased communication in the blended environment. A novel contribution of the study lies in its focus on the limited integration of blended learning in music education, an area that has received little attention in the existing literature. The findings offer important pedagogical implications for developing effective blended learning models that balance the practical and theoretical aspects of music education. Specifically, it highlights the need for better engagement strategies and support mechanisms for students and instructors to navigate blended learning effectively, fostering a more flexible, adaptive, and interactive learning environment.
Keywords:
Blended Learning; Instructional Models; Music Education Students; ChinaReferences
[1] Tsemperouli, M., Cheppali, S.K., Molina, F.R., et al., 2024. Vesicle docking and fusion pore modulation by the neuronal calcium sensor Synaptotagmin-1. Biophysical Journal. 20(2), 133–156.
[2] Inoue, R., Oda, T., Nakagawa, H., et al., 2024. Revealing an origin of temperature-dependent structural change in intrinsically disordered protein. Biophysical Journal. 19(14), 2344–2354.
[3] Shi, J., Jin, Y., Wang, S., et al., 2024. Trade-off movement between hydraulic resistance escape and shear stress escape by cancer cells. Biophysical Journal. 11(4), 198–209.
[4] Kim, E., Oliveras, A.E., Vega, M.M., et al., 2024. Diet therapy abates mutant APC and KRas effects by reshaping plasma membrane cholesterol nanodomains. Biophysical Journal. 29(5), 56–68.
[5] Tikhonov, D.B., Korkosh, V.S., Zhorov, B.S., 2024. 3D Aligned Tetrameric Ion Channels with Universal Residue Labels for Comparative Structural Analysis. Biophysical Journal. 32(18), 92–105.
[6] Tefera, G.W., Ray, R.L., Bantider, A., 2024. Exploring the unique biophysical characteristics and ecosystem services of mountains: A review. Journal of Mountain Science. 21(11), 3584–3597.
[7] Huang, M., Kuang, F., 2024. Effective Instructional Strategies to Enhance Chinese EFL Learners' Engagement in a Blended Learning Environment. Theory and Practice in Language Studies. 14(5), 1557–1566.
[8] Géraldine, H., Sawsen, L., Marilou, B., 2024. Blended online courses: students' learning experiences and engaging instructional strategies. Pedagogies: An International Journal. 19(2), 233–256.
[9] Su, T., 2024. A Blended Instructional Design for Civil Litigation Combining Multi-Objective Optimization Algorithms in a Rule of Law Context. Applied Mathematics and Nonlinear Sciences. 9(1), 334–352.
[10] Geon, L.G., Gi, H.H., 2024. Development and validation of the blended laboratory and e-learning instructional design (BLEND) model for university remote laboratory sessions: responding to the COVID-19 pandemic and planning for the future. Educational Technology Research and Development. 72(2), 1025–1065.
[11] Ugo, A.C., Ikwuka, O.I., 2023. Use of Blended Instructional Models Among Faculty of Education Lecturers in Public Universities in South East Nigeria. The Educational Review, USA. 7(9), 32–48.
[12] Xiaoyu, W., Nurhasmiza, S., Wan, A.N.A.W., 2023. Blended Instructional Strategies Based on Community of Inquiry Framework: A Systematic Review of the Literature. International Journal of Adult Education and Technology. 14(1), 1–20.
[13] Shojaeizadeh, K., Ahmadi, M., Dadashi-Roudbari, A., 2023. Contribution of biophysical and climate variables to the spatial distribution of wildfires in Iran. Journal of Forestry Research. 34(06), 1763–1775.
[14] Zhao, C., Zhao, W., Jin, M., et al., 2023. Spatial patterns of Picea crassifolia driven by environmental heterogeneity and intraspecific interactions. Journal of Forestry Research. 34(04), 949–962.
[15] Tingting, L., 2023. Optimization of Blended Learning for Open Education From the Perspective of Instructional Interaction: A Case Study of English for the Humanities. Studies in Literature and Language. 26(3), 66–76.
[16] Song, X., 2023. A Study on the Instructional Design of Blended Learning to Improve Students' Critical Thinking. Journal of Educational Research and Policies. 5(5), 489–503.
[17] Islam, S.S., Abdullah, A.M., Ahmed, H.M.F., 2022. Instructional design with ADDIE and rapid prototyping for blended learning: validation and its acceptance in the context of TVET Bangladesh. Education and Information Technologies. 28(6), 31–30.
[18] Walker, K.W., 2022. A silver lining for pandemic-weary libraries: How blended and flipped instructional programs have improved upon pre-pandemic norms. The Journal of Academic Librarianship. 48(6), 102595.
[19] Géraldine, H., Sawsen, L., Marilou, B., 2022. Examining effects of instructional strategies on student engagement in blended online courses. Journal of Computer Assisted Learning. 38(6), 1657–1673.
[20] Blend-Ed, 2022. Ed-Tech Startup Blend-Ed launches blended learning ecosystems with research-informed technology and instructional delivery methods. M2 Presswire. 38(6), 657–678.
[21] Irtaza, T., Victoria, V.M., Victoria, R., et al., 2022. Blended learning in a biology classroom: Pre-pandemic insights for post-pandemic instructional strategies. FEBS Open Bio. 12(7), 1286–1305.
[22] Voltà-Durán, E., Sánchez, J.M., López-Laguna, H., et al., 2022. The spectrum of building block conformers sustains the biophysical properties of clinically-oriented self-assembling protein nanoparticles. Science China (Materials). 65(06), 1662–1670.
[23] Chao, T., Lin-lin, C., Ting-ting, Y., 2022. Impacts of anthropogenic and biophysical factors on ecological land using logistic regression and random forest: A case study in Mentougou District, Beijing, China. Journal of Mountain Science. 19(02), 433–445.
[24] Frances, R.M., Ortiz, K.R., 2021. Evaluating Digital Instructional Materials for K-12 Online and Blended Learning. TechTrends: For Leaders in Education & Training. 65(6), 11–16.
[25] Papamitsiou, Z., Filippakis, M.E., Poulou, M., et al., 2021. Towards an educational data literacy framework: enhancing the profiles of instructional designers and e-tutors of online and blended courses with new competences. Smart Learning Environments. 8(1), 1276–1296.
[26] Hauk, S., St John, K., Jones, M., 2021. Profiles of readiness: Using a blended framework to explore what it takes for faculty to be ready to change instructional practice. Journal of Geoscience Education. 69(3), 281–299.
[27] Meina, Z., Sarah, B., Ke, Z., 2021. Effective instructional strategies and technology use in blended learning: A case study. Education and Information Technologies. 26(5), 11–19.
[28] Ritz, D.S., Jones, A., Alexander, N., et al., 2021. Responding to the Challenge of a Pandemic: The Rapid Conversion of Electronic Medical Record Training for Nurses From Classroom-Based Instructional Learning to a Blended Learning Approach in a Large Multisite Organization. CIN: Computers, Informatics, Nursing. 39(4), 171–175.
[29] Torre, N.O., Martínez, M.M., Peña, M., 2020. Effectiveness of blended instructional design based on active learning in a graphic engineering course. Computer Applications in Engineering Education. 29(4), 810–837.
[30] Jazayeri, M., Li, X., 2020. Examining the effect of blended instructional method on students' grades in an introductory statistics course. International Journal of Mathematical Education in Science and Technology. 52(8), 1–10.
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Copyright © 2025 Feng Yue, Ariyabhorn Kuroda, Pornpan Kaenampornpan
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