Articles

Design, Implementation, and Effects of Elementary Music Creation Class Using an AI-Based Music Program, Doodle Bach

AUTHOR :
Miseol Choi
INFORMATION:
page. 211~237 / 2023 Vol.52 No.4
e-ISSN 2713-3788
p-ISSN 1229-4179

ABSTRACT

본 연구는 창의적 수업 설계를 토대로 인공지능 기반 음악 프로그램인 ‘두들 바흐’를 활용한 음악창작 수업을 실행하고 학습자 설문과 수업자 면담, 음악창작 결과물 분석을 통해 음악 인지적 측면에 대한 효과성 및 음악창작수업에 인공지능을 활용하는 것의 효과성을 분석하고자 하는 현장연구이다. 연구대상은 서울 Y초등학교 6학년 2개 학급 학생 50명으로 창작수업에서 두들 바흐의 활용 유무에 따라 실험군과 통제군으로 나누어 5차시의 수업을 설계⋅적용하였다. 분석 결과 음악인지능력은 실험군과 대조군 모두 리듬인지, 조성인지, 선율인지 순으로 점수가 증가하였으며, 증가폭은 실험군이 대조군보다 높았다. 설문과 면담, 창작 결과물 분석 결과 두들 바흐가 학생들의 음악창작 과정에서 도움을 주거나 영감을 제공하는 어시스턴트 툴로서 효과적인 역할을 했음을 알 수 있었다. 본 연구를 통해 음악창작수업에서의 인공지능 활용에 대한 긍정적인 가능성을 보았으며, 국내 음악 교육 현장에서 인공지능 활용 및 방향성에 대한 지속적인 현장 연구가 이루어지기를 바란다.

Keyword :

REFERENCES


  1. AI Council (2021). AI roadmap. Retrieved September 27, 2022, from https://www.gov.uk/gove rnment/publications/ai-roadmap
  2. Barrett, M. (2006). 'Creative collaboration': An 'eminence' study of teaching and learning in music composition. Psychology of Music, 34(2), 195-218. https://doi.org/10.1177/0305735606061852 [Crossref]
  3. Biasutti, M. (2018). Strategies adopted during collaborative online music composition. International Journal of Music Education, 36(3), 473-490. https://doi.org/10.1177/0255761417741520 [Crossref]
  4. Burnard, P. (2000). How children ascribe meaning to improvisation and composition: Rethinking pedagogy in music education. Music Education Research, 2(1), 7-23. https://doi.org/10.1080/14613800050004404 [Crossref]
  5. Burnard, P., & Younker, B. A. (2008). Investigating children's musical interactions within the activities systems of group composing and arranging: An application of Engeström's activity theory. International Journal of Educational Research, 47(1), 60-74. https://doi.org/10.1016/j.ijer.2007.11.001 [Crossref]
  6. Chen, J. (2020). AI in music education: The impact of using artificial intelligence (AI) application to practise scales and arpeggios in a virtual learning environment. In learning environment and design (Educational Communications and Technology Yearbook, pp. 307-322). Singapore: Springer Singapore. https://doi.org/10.1080/14613808.2020.1737924 [Crossref]
  7. Cheong, Y., & Lee, Y. (2022). A case study on the convergence education of Korean studies using artificial intelligence contents. The Journal of Learner-Centered Curriculum and Instruction, 22(5), 681-705. https://doi.org/10.22251/jlcci.2022.22.5.681 [Crossref]
  8. Cho, M. H. (2021). A study on the history, classification and development direction of artificial intelligence. The Journal of The Korea Institute of Electronic Communication Sciences, 16(2), 307-312.
  9. Cho, S. (2016). TPACK for teaching and learning musical creation. Journal of Music Education Science, 26(26), 113-133.
  10. Cho, S., & Choi, M. (2022). Core competency modeling for elementary artificial intelligence education. The Journal of Core Competency Education, 7(1), 43-75. https://doi.org/10.52616/JCCER.2022.7.1.43 [Crossref]
  11. Choi, E., & Oh, J. H. (2016). A proposal for music creation classes based on the creative thinking process. Research Institute for Science Education, 55(2), 214-226. https://doi.org/10.15812/ter.55.2.201606.214 [Crossref]
  12. Choi, E., Kwon, D., Seog, M., & Chung, J. (2012). Understanding and utilizing the Korea test of music cognition. Seoul: Kyoyook Kwahaksa.
  13. Choi, M. (2022). Qualitative investigation of collaborative music composition activities using digital media and on-offline blended environments. korean Journal of Research in Music Education, 51(3), 207-241. https://doi.org/10.30775/KMES.51.3.207 [Crossref]
  14. Chun, H., Lee, S., & Park, I. (2021). A systematic review of AI technology use in englisheducation. Multimedia-Assisted Language Learning, 24(1), 87-103.
  15. Chung, J. W., Seog, M. J., Oh, J. H., Lee, S., & Choi, M. (2021). Study on teaching and learning methods for music creation in the online setting. The Journal of Future Music Education, 6(3), 71-93.
  16. Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry and research design: Choosing among five approaches. Sage publications.
  17. Digital Education Forum (2021). School curriculum development for digital and AI education. Retrieved September 28, 2022, from https://digital.eduforum.or.kr/
  18. Go, Y. (2002). Research on creative teaching through website construction and utilization. Master's thesis, College of Education, Chonnam National University, Gwangju.
  19. Google Doodles (2019). Retrieved September 27, 2022, from https://www.google.com/doodles/celebrating-johann-sebastian-bach
  20. Holland, S. (1989). Artificial intelligence, education and music: The use of artificial intelligence to encourage and facilitate music composition by novices. ERIC. Retrieved from https://www.proquest.com/reports/artificial-intelligence-education-music-use/docview/62965998/se-2
  21. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education promises and implications for teaching and learning. Center for Curriculum Redesign.
  22. Hong, S. M. (2007). A Study on individualized music composition learning for lower grades of elementary school using blogs. Master's thesis, Sungshin Women's University Graduate School of Education, Incheon.
  23. Hong, S., Cho, B., Choi, I., Park, K., Kim, H., & Park, Y. (2020). Exploring the utilization of artificial intelligence (AI) in school education (Research Report RRI 2020-2). Korea Institute of Curriculum and Evaluation.
  24. Huang, Y. (2021). Research on the application of artificial intelligence in music listening learning - taking intelligent hearing training as an example. Journal of Physics. Conference Series, 1915(4), 42085. https://doi.org/10.1088/1742-6596/1915/4/042085 [Crossref]
  25. Huh, M., Bae, Y., Seok, H., & Lee, J. (2021). Domestic research trends of learning with AI. Journal of the Korean Association of information Education, 25(6), 973-985. https://doi.org/10.14352/jkaie.2021.25.6.973 [Crossref]
  26. Interagency Collaboration (2019). National artificial intelligence report. Jackson, T. (n.d.). Imitative identity, imitative art, and AI: Artificial intelligence. Mosaic, 50(2), 47-63. https://doi.org/10.1353/mos.2017.a663689 [Crossref]
  27. Joint Government Ministries. (2019, Dcember 17). National strategy for artificial intelligence. Ministry of Science and ICT Press Release.
  28. Jung, H., & Kwak, N. (2004). A study on ICT-based elementary education for musical composition using multimedia. Korea Digital Contents Society, 5(3), 213-218.
  29. Jung, Y., & Lee, Y. (2021). A case study of integrated korean language education using artificial intelligence content. Learner-Centered Curriculum and Instruction Research, 22(5), 681-705. https://doi.org/10.22251/jlcci.2022.22.5.681 [Crossref]
  30. Kahn, K., & Winters, N. (2021). Constructionism and AI: A history and possible futures. British Journal of Educational Technology, 52(3), 1130-1142. https://doi.org/10.1111/bjet.13088 [Crossref]
  31. Kang, J. (2018). Development of a music composition program using scratch. Master's thesis, College of Education, Konkuk University, Seoul.
  32. Kil, H. (2020). Development of movie music creation teaching methods centered on emotional expression. Master's thesis, Graduate School, Korea National University of Education, Chungcheongbuk-do.
  33. Kim, E. (2020). A study on the use of applications in music composition education. Master's thesis, Graduate School of Education, Kongju National University, Chungcheongnam-do.
  34. Kim, H. S., Eom, H. S., Oh, H. N., & Choi, D. I. (2021). An analysis of the effectiveness of an artificial intelligence english speaking program. Journal of Educational Methods, 33(3), 563-588.
  35. Kim, I. (2016). The effects of an elementary school music composition program using smart devices on students' creative and communication abilities. Master's thesis, Graduate School of Education, Kyungin Education University, Incheon. Design, Implementation, and
  36. Kim, J. E. (2016). A study on Korean traditional musical instrument experience and creative teaching methods using applications. Master's thesis, Graduate School of Education, Kyungin Education University, Incheon.
  37. Kim, K. H. (2022). Educational recasting AI-based music education: The discussion on the role of music educators. korean Journal of Research in Music Education, 51(4), 55-75. https://doi.org/10.30775/KMES.51.4.55 [Crossref]
  38. Kim, K. J., & Han, H. (2021). A design and effect of maker education using educational artificial intelligence tools in elementary online environment. Journal of Digital Convergence, 19(6), 61-71. https://doi.org/10.3102/IP.22.1883090 [Crossref]
  39. Kim, S. (2019). A study on teaching methods for music and expression areas using smartphone applications. Master's thesis, Graduate School of Education, Jeju National University, Jeju Province.
  40. Kim, S. J. (2004). Research on creative teaching using MIDI software. Master's thesis, Graduate School of Education, Cheongju National University of Education, Chungcheongbuk-do.
  41. Kim, S.Y., & Kim, J.R. (2021). Affective effects of english digital textbook lessons using AI chatbots. The Journal of Learner-Centered Curriculum and Instruction, 21(10), 37-49. https://doi.org/10.22251/jlcci.2021.21.10.37 [Crossref]
  42. Kim, T. Y. (2010). Elementary school music instruction methods using drum sets. Master's thesis, Graduate School of Education, Jeju National University, Jeju Province.
  43. Kim, Y. H. (2002). The effects of elementary school students' music composition ability and satisfaction with music making lessons using MIDI programs. Master's thesis, Graduate School of Education, Keimyung University, Daegu.
  44. Kwon, D. (2016). The fourth industrial revolution and music education. Future Music Education Society Seminar.
  45. Lee, E. (2020). A comparative analysis of contents related to artificial intelligence in national and international K-12 curriculum. The Journal of Korean Association of Computer Education, 23(1), 37-44.
  46. Mateas, M. (2001). Expressive AI: A hybrid art and science practice. Leonardo, 34(2), 147-153. https://doi.org/10.1162/002409401750184717 [Crossref]
  47. Min, G. (2019). Prospect and tasks of music education in the 4th industrial revolution era. Korean Music Education Society, 48(1), 53-74. https://doi.org/10.30775/KMES.48.1.53 [Crossref]
  48. Ministry of Education (2015). Music curriculum.
  49. Ministry of Education (2021, November 24). Key points of the 2022 revised curriculum (Draft). Ministry of Education Press Release.
  50. Ministry of Education (2022). Music curriculum.
  51. Moon, H., & Seung, Y. (2022). A study on the understanding of artificial intelligence (AI) and the examples and applications of AI-based music tools. The Journal of Learner-Centered Curriculum and Instruction, 22(4), 341-358. https://doi.org/10.22251/jlcci.2022.22.4.341 [Crossref]
  52. Moon, K. S. (2005). Historical perspectives on the manhattanville music curriculum program. korean Journal of Research in Music Education, 28, 25-51.
  53. Oh, H. S., Lee, D. E., Ahn, C. W., Kwak, D. J., Cheon, H. D., & Won, Y. S. (2022). AI and posthuman aesthetics in music. Gyeonggi: Monopoly.
  54. Park, E. (2010). A comparison of the musical composition and musical creativity studies of M. Hickey and J. Kratus. Korean Music Education Society, 39, 27-51.
  55. Park, E. (2016). Analysis of melody composition process and results according to music composition tools. Journal of the Korean Society for Music Education Conference, 101-106.
  56. Park, E. (2017). An analysis of melody composition process and product by different music making tools. Korean Music Education Society, 46(1), 67-87. https://doi.org/10.30775/KMES.46.1.04 [Crossref]
  57. Park, E. (2021). Analysis of research trends of music composition education through comparison of domestic and foreign academic Journals in Music Education. Korean Journal of Arts Education, 19(2), 153-168.
  58. Park, J., & Kim, Y. (2019). Research trends of master's theses on elementary music creation teaching and learning. Music Theory Forum, 49-72. https://doi.org/10.16940/YMR.2012.19.49 [Crossref]
  59. Park, J. (2011). A study on the teaching-learning process and method of musical creation in the elementary school. The Korean Journal Child Education, 20(2), 5-18.
  60. Park, J. (2021). Teaching methods for music and composition classes using ICT. Master's thesis, Graduate School of Education, Chonbuk National University, Jeollabuk-do.
  61. Park, S., Lim, C., Lee, J., & Cho, Y. (2021). Education and instruction in educational technology. Seoul: Kyoyookbook.
  62. Pedró, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO.
  63. Sætre, J. H. (2011). Teaching and learning music composition in primary school settings. Music Education Research, 13(1), 29-50. https://doi.org/10.1080/14613808.2011.553276 [Crossref]
  64. Schwab, K. (2016). The fourth industrial revolution. New York: Crown Business.
  65. Seldon, A., & Abidoye, O. (2018). The fourth education revolution: Will artificial intelligence liberate or infantilise humanity. University of Buckingham Press.
  66. Seong, S., Lee, S. (2021). Analyzing learners' and teachers' perceptions of AI PengTalk for English learning and the suggestions for its use. The Journal of Learner-Centered Curriculum and Instruction, 21(21), 915-935. https://doi.org/10.22251/jlcci.2021.21.21.915 [Crossref]
  67. Shin, H. K. (2016). Music-COMP: Exploration of alternatives for teaching and learning music composition in school classrooms. Journal of Music Education Science, 27(27), 107-125.
  68. Son, S. (2017). A study on the application method of creative music class by using DAW(digital audio workstation) based garage band software. Journal of Music Education Science, 33(33), 93-114. https://doi.org/10.30832/JMES.2017.33.93 [Crossref]
  69. Soo, V., Huang, C., Su, Y., & Su, M. (2018). AI applications on music technology for edutainment. In Innovative technologies and learning (pp. 594-599). Springer International Publishing. https://doi.org/10.1007/978-3-319-99737-7_63 [Crossref]
  70. Touretzky, D., Martin, F., Seehorn, D., Breazeal, C., & Posner, T. (2019). Special session: AI for K-12 guidelines initiative. Proceedings of the 50th ACM technical symposium on computer science education, 1244. https://doi.org/10.1145/3287324.3293729 https://doi.org/10.1145/3287324.3293729 [Crossref]
  71. Webster, P. R. (1990). Creativity as creative thinking. Music Educators Journal, 76(9), 22-28. https://doi.org/10.2307/3401073 [Crossref]
  72. Yang, D., Han, S. (2021). The effect of A-STEAM education using artificial intelligence on creativity of elementary school students. Korean Association of Artificial Intelligence Education, 2(3), 37-46. https://doi.org/10.52618/aied.2021.2.3.5 [Crossref]
  73. Yim, Y., Ahn, S., Kim, K. M., Kim, J. H., & Hong, O. (2021). The effects of an AI-based class support system on student learning: Focusing on the case of Toctoc math expedition in Korea. Elementary Education Research, 32(4), 61-73.
  74. Yoo, H. J. (2022). A case study on artificial intelligence's music creation: Focusing on Google's AI magenta project. Journal of Next-generation Convergence Technology Association, 6(9), 1737-1745. https://doi.org/10.33097/JNCTA.2022.06.09.1737 [Crossref]
  75. Younker, B. (2000). Thought processes and strategies of students engaged in music composition. Research Studies in Music Education, 14, 24-39. https://doi.org/10.1177/1321103X0001400103 [Crossref]
  76. Yu, L., & Ding, J. (2020). Application of music artificial intelligence in preschool music education. IOP Conference Series. Materials Science and Engineering, 750(1), 12101. https://doi.org/10.1088/1757-899X/750/1/012101 [Crossref]
  77. Yun, G. K. (2021). A study of teaching instruction for creative music class in music subjects using artificial intelligence(AI). Education Research Institute, 80, 369-385.
  78. Zulić, H. (2019). How AI can change/improve/influence music composition, Performance and Education: Three Case Studies. INSAM, I(2), 100-114. https://doi.org/10.51191/issn.2637-1898.2019.2.2.100 [Crossref]

Archives

(53 Volumes, 814 Articles)
view all volumes and issues