Yapay Zeka Destekli Müzik Eğitimi: Yeni Bir Öğrenme Deneyimi


Abstract views: 220 / PDF downloads: 124

Yazarlar

DOI:

https://doi.org/10.5281/zenodo.14020368

Anahtar Kelimeler:

Yapay Zeka, Müzik Eğitimi

Özet

Teknolojik ilerleme ve küreselleşmeyle birlikte, toplumun işleyiş biçimleri değişmiş, modern teknolojilerden biri olarak öne çıkan ‘Yapay Zeka’yı (AI) kullanmak çok önemli hale gelmiştir. Yapay zeka, son yarım yüzyılda insan inovasyonu ve mühendislik gelişimiyle birlikte en hızla gelişen ana teknolojilerden biri olmuştur. Bilgi teknolojisinin hızlı gelişimi sonucunda ortaya çıkan yapay zeka, disiplinlerarası birçok konuyu içermesinin yanında müzik eğitimine de yeni unsurlar katmış, yapay zeka tekniklerine dayalı müzik eğitimi ve öğretimi (MET-AI) giderek daha kapsamlı hale gelmiştir. Müzik eğitiminde yapay zekanın rolüne odaklanan bu araştırmanın amacı, yapay zekanın müzik eğitimindeki önemini ve potansiyelini incelemektir. Nitel araştırma yöntemlerinden doküman analizi modelinin kullanıldığı araştırmada yapay zekanın müzik eğitimindeki kullanım alanları incelenmekte, yapay zekanın müzik eğitiminde uygulanımı sistematik olarak özetlenmekte, eğitmenlerin rolü ve işbirliği, öğrencilerin başarı düzeyi gibi konular ele alınarak müzik eğitiminde yapay zekanın geleceği tartışılmaktadır. Bu araştırma sonucunda, yapılan araştırmanın bulguları özetlenerek müzik eğitimi alanında yapay zeka kullanımının farklı yönleri ortaya konmuş, müzik eğitimi sürecini geliştirmek ve öğrenme deneyimini zenginleştirmek için yeni yaklaşımlar önerilmiştir.

Referanslar

Baker, R. S., Corbett, A. T., Koedinger, K. R. & Wagner, A. Z. (2004). Off-Task behavior in the cognitive tutor classroom: When students game the system. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Vienna Austria.

Bingxiang, Z., Jiaqing, L., Shouting, W. & Zhongming, K. (2016). The design of intelligent music system based on internet of things. 2016 IEEE International Conference of Online Analysis and Computing Science, Chongqing, China.

Brown, M. (2018). Innovative approaches in music education. Contributions to Music Education, 31(1), 71-88.

Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27-40. https://www.emerald.com/insight/content/doi/10.3316/QRJ0902027/full/html

Cao, R. & Qi, M. (2021). On the Development of Artificial Intelligence and Ideological and Political Education Course. Educational Observation, 10(41), 53-56.

Carnovalini, F. & Rodà, A. (2020) Computational creativity and music generation systems: An introduction to the state of the art. Frontiers in Artificial Intelligence, 3(14), 1-20. https://doi.org/10.3389/frai.2020.00014

Della Ventura, M. (2019). Exploring the impact of artificial intelligence in music education to enhance the dyslexic student’s skills. Communications in Computer and Information Science, 1011, 14-22.

Fernández, J. & Vico, F. (2013). Ai methods in algorithmic composition: A comprehensive survey. Journal of Artificial Intelligence Research, 48, 513-582. https://doi.org/10.1613/jair.3908

Gall, M. & Breeze, N. (2005). Music composition lessons: The multimodal affordances of technology. Educational Review, 57(4), 415-433.

Kaplan, A. & Haenlein M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62, 15-25. https://doi.org/10.1016/j.bushor.2018.08.004

Kladder, J. (2021). Digital audio technology in music teaching and learning: A preliminary investigation. Journal of Music Technology and Education, 13(2-3), 219-237. http://dx.doi.org/10.1386/ jmte_00024_1

Koedinger, K. R. & Aleven, V. (2007). Exploring the assistance dilemma in experiments with cognitive tutors. Educational Psychology Review, 19(3), 239–264. https://doi.org/10.1007/s10648-007-9049-0

Larentzakis, A. & Lygerōs, N. (2021). Artificial intelligence (AI) in medicine as a strategic valuable tool. Pan African Medical Journal, 38, 184. https://doi.org/10.11604/pamj.2021.38.184.28197

Leonard, J., Villeneuve, J. & Kontogeorgakopoulos, A. (2020). Multisensory instrumental dynamics as an emergent paradigm for digital musical creation. Journal on Multimodal User Interfaces, 14, 235-253. https://doi.org/10.1007/s12193-020-00334-y

Miyake, N., Seto, F., Mizukawa, M., Kotosaka, S. & Sato, T. (2011). Special issue on education of robotics & mechatronics focusing on the learning process and producing an education literature. J. Robot. Mechatron, 23(5), 607-610. doi: 10.20965/jrm.2011

Mo, F., Ji, X., Qian, H. & Xu, Y. (2022). A user-customized automatic music composition system. 2022 International Conference on Robotics and Automation. Philadelphia, PA, ABD.

Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C., Mishkin, P…. & Lowe, R. (2022). Training language models to follow instructions with human feedback. In Advances in Neural Information Processing Systems, 1-68. https://doi.org/10.48550/arXiv.2203.02155

Özkan, Umut B. (2023). Eğitim bilimleri araştırmaları için doküman inceleme yöntemi (6. Baskı), Pegem Yayıncılık.

Park, B. (2022). Analysis of research trends related to artificial intelligence in Korean music field. j. next-gener. Converg Technol Assoc. 6, 570-578

Park, J.R. (2019). A study on technology and artificial intelligence applied to music production. Journal of Music Theory, 33, 108-143.

Schedl, M., Yang, Y. & Herrera, P. (2016). Introduction to intelligent music systems and applications. ACM Transactions on Intelligent Systems and Technology, 8, 1-8. http://dx.doi.org/10.1145/2991468

Shin, W. & Cheol, K.M. (2020). Music artificial intelligence: A case of google magenta. Jeju National University Tourism, Business, and Economic Research Institute, 40, 21–28.

Smith, J. & Johnson, R. (2020). The impact of ai music software on music education. Journal of Music Education, 45(2), 78-92.

Song, H., Liu, Y., Li, K., Ding, L., Sun, X. & Zhang, X.J. (2020). Reform and future prospects in education based on 5g technology. 3rd International Conference on Education Technology and Information System, Hangzhou, China

Sturm, B., Iglesias, M., Ben-Tal, O. & Miron, M. (2019). Artificial intelligence and music: Open questions of copyright law and engineering praxis. Arts, 8(3),115. https://doi.org/10.3390/arts8030115.

Sturm, B., Ben-Tal, O., Monaghan, Ú., Collins, N., Herremans, D., Chew, E. & Pachet, F. (2018). Machine learning research that matters for music creation: A case study. Journal of New Music Research, 48(1), 36-55. https://doi.org/10.1080/09298215.2018.1515233.

Tabak, C. (2023). Akıllı müzik uygulamaları: Müzisyenler ve dinleyiciler için yenilikçi çözümler. Uluslararası Anadolu Sosyal Bilimler Dergisi, 7(3), 752-773. http://doi.org/10.47525/ulasbid. 1324070.

Tiancheng, Y. & Nazir, S. (2021). A comprehensive overview of Ai-enabled music classification and its influence in games. Research Square. 26, 7679–7693. https://doi.org/10.21203/rs.3.rs-1089338/v1

Wang, X. (2022). Design of vocal music teaching system platform for music majors based on artificial intelligence. Wireless Communications and Mobile Computing, 2022, 1-11. https://doi.org/ 10.1155/2022/5503834

Wei, J., Marimuthu, K. & Prathik, A. (2022) College music education and teaching based on ai techniques. Computers and Electrical Engineering, 100(2), 1-13. https://doi.org/10.1016/j.compeleceng. 2022.107851

Wenhui, J. (2021). Thoughts on the interaction between ai technology and music education. Sichuan Drama, 9, 170-172.

Wikipedia (t.y.). Ray Kurzweil. https://en.wikipedia.org/wiki/Ray_Kurzweil

Woolf, B.P. (2015). AI and education: Celebrating 30 years of marriage. In AIED Workshops, 4, 38-47.

Xu, N. & Zhao, Y. (2021). Online education and wireless network coordination of electronic music creation and performance under artificial intelligence. Wireless Communications and Mobile Computing, 1-9. https://doi.org/10.1155/2021/5999152

Yan, H. (2022). Design of online music education system based on artificial intelligence and multiuser detection algorithm. Computational Intelligence and Neuroscience, 2022(6), 1-11. https://doi.org/ 10.1155/2022/9083436

Yang, Y. (2021). Piano performance and music automatic notation algorithm teaching system based on artificial intelligence. Mobile Information Systems, 2023(1), 1-13. https://doi.org/10.1155/2021/ 3552822

Yang, F. (2020). Artificial intelligence in music education. 2020 International Conference on Robots & Intelligent System. Sanya, China. https://doi: 10.1109/ICRIS52159.2020.00124.

Yılmaz, A. ve Ölçer, İ. (2020). Yapay zekanın cerrahi uygulamalara entegrasyonu. Beykent Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, 13(2), 21-27. https://doi.org/10.20854/bujse.873770

Yoo, H.J. (2022). A case study on artificial intelligence’s music creation: Focusing on. J. Next-Gener. Converg. Technol. Assoc, 6 (9), 1737-1745.

YoungGun, K. (2021). Study on artificial intelligence technology used in popular music harmony arrangement. Korean J. Pop. Music, 27, 9-47.

Yu, L. & Ding, J. (2020). Application of music artificial intelligence in preschool music education. Iop Conference Series Materials Science and Engineering, 750(1), 012101. https://doi.org/10.1088/ 1757-899x/750/1/012101

Yu, Z. (2020). IEEE. Selection method of linear thinking path of Chinese piano music based on artificial intelligence. In Proceedings of the 5th International Conference on Smart Grid and Electrical Automation. Zhangjiajie, China.

Yu, X., Ma, N., Zheng L., Wang L. & Wang K. (2023). Developments and applications of artificial intelligence in music education. Technologies, 11(2), 42. https://doi.org/10.3390/technologies 11020042

Zaripov, R. Kh. (1960). An algorithmic description of a process of musical composition. Dokl. Akad. Nauk SSSR, 132(6), 1283–1286.

Zhang, Y., Zhang, C., Cheng, L. & Qi, M. (2022). The use of deep learning-based gesture interactive robot in the treatment of autistic children under music perception education. Frontiers in Psychology, 13, 1-11. https://doi.org/10.3389/fpsyg.2022.762701

Zhang, Y. & Yi, D. (2021). A new music teaching mode based on computer automatic matching technology. Int. J. Emerg. Technol. Learn., 16, 117-130.

Zhao, Y. (2022). Exploring key competencies and professional development of music teachers in primary schools in the era of artificial intelligence. Scientific Programming 2021(7), 1-9. https://doi.org/ 10.1155/2021/5097003

İndir

Yayınlanmış

2024-10-31

Nasıl Atıf Yapılır

Güdek, B., & Açıksöz, F. (2024). Yapay Zeka Destekli Müzik Eğitimi: Yeni Bir Öğrenme Deneyimi . International Journal of Social and Humanities Sciences Research (JSHSR), 11(112), 1909–1922. https://doi.org/10.5281/zenodo.14020368