Application of Big Data Technology in the Study of “UGS” Collaborative Training Mechanism for Musicology Majors in Colleges and Universities in the Context of Professional Accreditation

[1] Aleksandra Klanja-Milievi, Ivanovi, M., & Budimac, Z. (2017). Data science in education: big data and learning analytics. Computer Applications in Engineering Education, 25(6). Search in Google Scholar

[2] Zhang, L., Zhou, C., & Sun, X. (2022). Big data + business administration: applying problem-based learning to enrich the design of interdisciplinary education. The international journal of engineering education. Search in Google Scholar

[3] Michele, B. (2017). Teaching improvisation through processes. applications in music education and implications for general education. Frontiers in Psychology, 8, 911. Search in Google Scholar

[4] Iliaki, G., Velentzas, A., Michailidi, E., & Stavrou, D. (2019). Exploring the music: a teaching-learning sequence about sound in authentic settings. Research in science & technological education, 37(2), 218-238. Search in Google Scholar

[5] Turchet, L. (2020). Cloud-smart musical instrument interactions: querying a large music collection with a smart guitar. ACM Transactions on Internet Technology. Search in Google Scholar

[6] Behbehani, S., & Steffens, J. (2021). Musical diamonds: the influence of situational classes and characteristics on music listening behavior:. Psychology of Music, 49(6), 1532-1545. Search in Google Scholar

[7] Katarzyna Rogozińska. (2018). Axiological dimension of music education in the schooling of students. Human Studies Series of Pedagogy(6/38), 267-276. Search in Google Scholar

[8] Hasikou, A. (2020). New approaches to individual instrumental tuition in music education. American Journal of Education, 7, 193-202. Search in Google Scholar

[9] Lebaka, M. E. K. (2019). Modes of teaching and learning of indigenous music using methods and techniques predicated on traditional music education practice: the case of bapedi music tradition. European Journal of Education, 2. Search in Google Scholar

[10] Goodrich, A. (2020). Counterpoint in the music classroom: creating an environment of resilience with peer mentoring and lgbtqia+ students:. International Journal of Music Education, 38(4), 582-592. Search in Google Scholar

[11] Ailbhe, & Kenny. (2017). Beginning a journey with music education: voices from pre-service primary teachers. Music Education Research. Search in Google Scholar

[12] Tahirbegi, D. (2022). Higher music education students’ experiences and management of performance anxiety: a qualitative study:. Psychology of Music, 50(4), 1184-1196. Search in Google Scholar

[13] Yang, Y., Yin, A., & Guan, T. (2021). Mapping music education research in mainland china (2007–2019): a metadata-based literature analysis:. International Journal of Music Education, 39(2), 234-246. Search in Google Scholar

[14] Tan, J. (2022). Information analysis of advanced mathematics education-adaptive algorithm based on big data. Mathematical Problems in Engineering, 2022. Search in Google Scholar

[15] Bai, X., & Li, J. (2021). Personalized dynamic evaluation technology of online education quality management based on artificial intelligence big data. Journal of Intelligent and Fuzzy Systems(3), 1-10. Search in Google Scholar

[16] Li, Y., & Sharma, A. (2021). Regional network education information collection platform for smart classrooms based on big data technology. Informatica (Slovenia), 45. Search in Google Scholar

[17] Yang, C., Huan, S., & Yang, Y. (2020). Application of big data technology in blended teaching of college students: a case study on rain classroom. International Journal of Emerging Technologies in Learning (iJET), 15(11), 4. Search in Google Scholar

[18] Liu, F., & Zhang, Q. (2021). A new reciprocal teaching approach for information literacy education under the background of big data. International Journal of Emerging Technologies in Learning (iJET), 16(3), 246. Search in Google Scholar