International Journal of Educational Innovation and Science, 2023, 4(1); doi: 10.38007/IJEIS.2023.040112.
Philippine Christian University, Manila, Philippines
The development of modern technology and economy has fully improved people's daily life, and at the same time, the disposable income of residents has also increased rapidly. At this time, people began to pay more and more attention to art education such as music for the next generation. Education. At this time, the education and training enterprises of music and various art disciplines have a broader development market, and at the same time, the improvement of the market competition environment has also made the training mode used by various training enterprises to train the teaching skills of music teachers there are bigger deficiencies. At this time, the rise and rapid progress of artificial intelligence (AI) technology has also brought more ideas and development opportunities for the training of music teachers' professional skills. Relevant companies have begun to pay attention to the relationship between AI technology and teachers' music teaching skills training. This combination can not only fully improve teachers' music teaching skills, but also greatly shorten the period required for music teacher training. In this paper, through the in-depth exploration of AI technology, a comprehensive model for the training and assessment of music teachers' professional teaching skills based on AI technology is proposed to provide efficient training for relevant teachers' majors, so that Enable related enterprises to achieve higher quality development. At the same time, this AI technology-based training and assessment mode for teachers' music teaching skills also greatly improves the professionalism of teachers, thereby producing better teaching effects.
Music Teaching, Skill Training, Effect Assessment, Artificial Intelligence
Jianbing Xi. Artificial Intelligence Technology in the Assessment of Teachers' Music Teaching Skills Training. International Journal of Educational Innovation and Science (2023), Vol. 4, Issue 1: 136-142. https://doi.org/10.38007/IJEIS.2023.040112.
 McPhail, Graham, and Jeff McNeill. "One direction: a future for secondary school music education?." Music Education Research 21.4 (2019): 359-370. https://doi.org/10.1080/14613808.2019.1605345
 Palmer, Elizabeth S. "Literature review of social justice in music education: Acknowledging oppression and privilege." Update: Applications of Research in Music Education 36.2 (2018): 22-31.https://doi.org/10.1177/8755123317711091
 Kallio, Alexis Anja. "Decolonizing music education research and the (im) possibility of methodological responsibility." Research Studies in Music Education 42.2 (2020): 177-191. https://doi.org/10.1177/1321103X19845690
 Bautista, Alfredo. "The role of classroom video in music teacher research: A review of the literature." Music Education Research 21.4 (2019): 331-343. https://doi.org/10.1080/14613808.2019.1632278
 Kratus, John. "A return to amateurism in music education." Music Educators Journal 106.1 (2019): 31-37. https://doi.org/10.1177/0027432119856870
 Hong Yun, Zou. "A decision-support system for assessing the function of machine learning and artificial intelligence in music education for network games." Soft Computing 26.20 (2022): 11063-11075. https://doi.org/10.1007/s00500-022-07401-4
 Kayis, Mert. "Artificial Intelligence-Based Classification with Classical Turkish Music Makams: Possibilities to Turkish Music Education." African Educational Research Journal 9.2 (2021): 570-580. https://doi.org/10.30918/AERJ.92.21.055
 Moreno, Alberto. "Elements of music based on artificial intelligence." Acta Informatica Malaysia 4.2 (2020): 30-32. https://doi.org/10.26480/aim.02.2020.30.32
 Lu, Huimin. "Brain intelligence: go beyond artificial intelligence." Mobile Networks and Applications 23.2 (2018): 368-375. https://doi.org/10.1007/s11036-017-0932-8
 Davenport, Thomas H., and Rajeev Ronanki. "Artificial intelligence for the real world." Harvard business review 96.1 (2018): 108-116.
 Jordan, Michael I. "Artificial intelligence-the revolution hasn't happened yet." Harvard Data Science Review 1.1 (2019): 1-9. https://doi.org/10.1162/99608f92.f06c6e61
 Chua S L, Welch G F. A quantitative study of experiences impacting music teacher development. Psychology of Music 49.3 (2021):445-461. https://doi.org/10.1177/0305735619873387
 Yoo H, Kang S. Teaching as Improvising: Preservice Music Teacher Field Experience with 21st-Century Skills Activities. Journal of Music Teacher Education 30.3 (2021):54-68. https://doi.org/10.1177/10570837211021373
 Revenko N. Ukrainian piano concert in the repertoire of the future teacher of music art. Scientific visnyk V O Sukhomlynskyi Mykolaiv National University Pedagogical Sciences 66.3 (2019):191-195. https://doi.org/10.33310/2518-7813-2019-66-3-191-195
 Uluay T. A Research on the Art Needs of Music Teacher Candidates. Universal Journal of Educational Research 7.4 (2019):923-928.https://doi.org/10.13189/ujer.2019.070402