Dergiler / Journal for the Interdisciplinary Art and Education / 2026 / Volume: 6 Issue: 2

Investigation of Artificial Intelligence literacy levels of music teachers

Ömer Üçer(KAFKAS ÜNİVERSİTESİ)0000-0001-6265-6468
Hüseyin Yılmaz(KAFKAS ÜNİVERSİTESİ, EĞİTİM FAKÜLTESİ)0000-0001-8481-755X
Yakup Açar(KAFKAS ÜNİVERSİTESİ)0000-0001-8682-6396
Sayfa
—
Yayın Tarihi
2025-06-30
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

It has been observed that there is a direct relationship between artificial intelligence literacy, knowledge and frequency of use, and as the level of knowledge and awareness increases, teachers’ skills in evaluating and using artificial intelligence increase.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:The aim of this study is to determine the artificial intelligence literacy levels of music teachers.
📊
Temel Bulgular & Veri:While determining the study group, easily accessible case sampling technique, which is one of the purposeful sampling methods, was used and 132 music teachers working in public schools constituted the study group.
💡
Sonuç & Katkı:It has been observed that there is a direct relationship between artificial intelligence literacy, knowledge and frequency of use, and as the level of knowledge and awareness increases, teachers’ skills in evaluating and using artificial intelligence increase.
🔬Tür:Uygulamalı Anket & Alan Araştırması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Artificial Intelligence · Music · Music Education

Abstract

The aim of this study is to determine the artificial intelligence literacy levels of music teachers. The research was conducted using the survey model under the quantitative research paradigm. While determining the study group, easily accessible case sampling technique, which is one of the purposeful sampling methods, was used and 132 music teachers working in public schools constituted the study group. In the data collection process, “Artificial Intelligence Literacy Level Scale” was used to measure the artificial intelligence literacy levels of music teachers. For the analysis of the data, normality analyses were performed first and accordingly, it was decided which statistical analyses to use and independent groups t-test and one-way Analysis of Variance (Anova) were used in the study. The artificial intelligence literacy levels of the teachers were examined in terms of various variables and the data were tabulated and reported. As a result of the research, it was determined that the average level of artificial intelligence literacy of music teachers was at a medium level. In terms of gender variable, it was determined that the artificial intelligence literacy levels of music teachers were higher than those of female music teachers in the “Artificial Intelligence Literacy Scale” general total and “Awareness” sub-dimension. According to the marital status variable, in the “Evaluation” sub-dimension, it was seen that single music teachers had higher levels of AI literacy compared to married teachers. However, there was no significant difference according to professional seniority, graduation status, faculty of graduation and frequency of internet use. However, it was concluded that the artificial intelligence literacy levels of music teachers who have knowledge about artificial intelligence, artificial intelligence programs and use artificial intelligence programs and these programs in music and music education are significant. It has been observed that there is a direct relationship between artificial intelligence literacy, knowledge and frequency of use, and as the level of knowledge and awareness increases, teachers’ skills in evaluating and using artificial intelligence increase.

🔖

Bu Makaleye Atıf Yap

Üçer, Ö., Yılmaz, H., Açar, Y. (2025). Investigation of Artificial Intelligence literacy levels of music teachers. Journal for the Interdisciplinary Art and Education, Volume: 6 Issue: 2. https://doi.org/10.5281/zenodo.15510414

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (51)

  1. Aksakal-Taşkıran, Ş., Emre, İ., & Özbek, M. (2024). Determination of Classroom Teachers’ Attitudes Towards Artificial Intelligence. Journal of New Approaches in Education, 7(1), 1-13.
  2. Aksu, B. (2024). Investigation of the Relationship between Teachers’ Artificial Intelligence Awareness Levels and Artificial Intelligence Anxiety Levels [Unpublished Master’s Thesis, Gazi University]. Council of Higher Education National Thesis Centre. https://tez.yok.gov.tr.
  3. Arıcı, İ. (2023). Artificial intelligence and music education. Journal of Current Researches on Social Sciences, 13(3), 579-584.
  4. Arslan, K. (2020). Artificial intelligence and applications in education. West Anatolian Journal of Educational Sciences, 11(1), 71-88.
  5. Baker, T., & Smith, L. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. Research on Nesta web site The UK’s innovation agency for social good. https://media.nesta.org.uk/documents/Future_of_AI_and_education_v5_WEB.pdf
  6. Bamigbola, A. A. (2021). Web 3.0 tools and knowledge conversion bydistance learners. Regional Journal of Information and KnowledgeManagement, 6(2), 21–35.
  7. Banaz, E., & Maden, S. (2024). Investigation of Artificial Intelligence Attitudes of Prospective Turkish Teachers’ in Terms of Different Variables. Trakya Journal of Education, 14(2), 1173-1180. https://doi.org/10.24315/tred.1430419
  8. Buzkurt, L. (2021). Examination of the Relationship between Preschool Teachers’ Lifelong Learning Dispositions and Digital Literacy Levels [Unpublished Master’s Thesis, Dicle University]. Council of Higher Education National Thesis Centre. https://tez.yok.gov.tr.
  9. Büyüköztürk, Ş. (2012). Data analysis handbook (17th edition). Pegem Academy Publications.
  10. Büyüköztürk, Ş., Çakmak, E., Akgün, Ö. E., Karadeniz, Ş., & Demirel, F. (2015). Scientific research Methods. Pegem Akademi.
  11. Chounta, IA., Bardone, E., Raudsep, A., & Pedaste, M. (2022). Exploring Teachers’ Perceptions of Artificial Intelligence as a Tool to Support their Practice in Estonian K-12 Education. Int J Artif Intell Educ, 32, 725–755. https://doi.org/10.1007/s40593-021-00243-5
  12. Çelebi, C., Yılmaz, F., Demir, U., & Karakuş, F. (2023). Artificial intelligence literacy: An adaptation study. Instructional Technology and Lifelong Learning, 4(2), 291-306. https://doi.org/10.52911/itall.1401740
  13. Deshpande, K. V., Asbe, S., Lugade, A., More, Y., Bhalerao, D., ve Partudkar, A. (2023). Learning Analytics Powered Teacher Facing Dashboard to Visualize, Analyze Students’ Academic Performance and give Key DL(Deep Learning) Supported Key Recommendations for Performance Improvement. 2023 International Conference for Advancement in Technology (ICONAT), 1–8. https://doi.org/10.1109/ICONAT57137.2023.10080832
  14. Elçiçek, M. (2024). A Review on Students’ Artificial Intelligence Literacy. Journal of Information and Communication Technologies, 6(1), 24-35. https://doi.org/10.53694/bited.1460106
  15. Erbir, M. (2021). Digital Literacy in Nursing Profession: The Case of Kayseri Province. Journal of Economics Business Politics and International Relations, 7(2), 336-352.
  16. George, D. & Mallery, P. (2010). SPSS for windows step by step. a Simple Study Guide and Reference (10th Edition). Pearson.
  17. Guan, C., Mou, J. ve Jiang, Z. (2020). Artificial intelligence innovation in education: A Twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4(4), 134-147. https://doi.org/10.1016/j.ijis.2020.09.001
  18. Han, H.-J., Kim, K.-J., & Kwon, H.-S. (2020). The Analysis of Elementary School Teachers’ Perception of Using Artificial Intelligence in Education. Journal of Digital Convergence, 18(7), 47–56. https://doi.org/10.14400/JDC.2020.18.7.047
  19. Irgatoğlu, A., Erken, V., Gürsel, G. B., & Denizli, Ö. M. (2024). Examining the digital literacy levels of school administrators. RumeliDE Journal of Language and Literature Studies (14), 572-586. https://doi.org/10.29000/rumelide.1454536
  20. Jamal, A. (2023). The Role Of Artificial Intelligence (AI) In Teacher Education: Opportunities & Challenges. International Journal of Research and Analytical Reviews (IJRAR), 10(1), 139-146.
  21. Jiang, Q. (2022). Application of artificial ıntelligence technology in musiceducation supported by wireless network. Mathematical Problems in Engineering, 2138059. https://doi.org/10.1155/2022/2138059
  22. Kalınkol, C., & Anılan, H. (2023). Investigation of Digital Literacy Status of Classroom Teachers. Journal of Istanbul Aydın University Faculty of Education, 9(2), 203-235.
  23. Kandemir, F., & Azizoğlu, F. (2024). Investigation of Nurses’ General Attitudes Towards Artificial Intelligence. Journal of Intensive Care Nursing, 2, 113-125. https://doi.org/10.62111/ybhd.1502758
  24. Karacan-Doğan, P., Doğan, İ. & Çetinkayalı, G. (2023). Examining the relationship between sport sciences students’ attitudes towards artificial intelligence and their concerns about finding a job. Yalova University Journal of Sport Sciences, 2(3), 174-189.
  25. Khoalenyane, N. B. ve Ajani, O. A. (2024). A Systematic Review of Artificial Intelligence In Higher Education- South Africa. Social Sciences And Education Research Review, 11(1), 17-26. https://doi.org/10.5281/zenodo.#
  26. Korkmaz, M., & Akçay, A. O. (2024). Determining Digital Literacy Levels of Primary School Teachers. Journal of Learning and Teaching in Digital Age, 9(1), 1-16. https://doi.org/10.53850/joltida.1175453
  27. Li, P-P. & Wang, B. (2024). Artificial Intelligence in music education. International Journal of Human–Computer Interaction, 40(16), 4183-4192. https://doi.org/10.1080/10447318.2023.2209984
  28. Li, S. (2024). Intelligent Construction of University Music Education Teaching System Based on Artificial Intelligence Technology, Journal of Electrical Systems, 20(3), 530-539. https://doi.org/10.52783/jes.1326
  29. Loder, J. ve Nicholas, L. (2018). Creating a people-powered future, for AI in health: confronting Dr Robot. Access addressa; https://media.nesta.org.uk/documents/confronting_dr_robot.pdf
  30. Luckin, B., Cukurova, M., Kent, C., ve du Boulay, B. (2022). Empowering educators to be AI-ready. Computers and Education: Artificial Intelligence, 3, 100076. https://doi.org/10.1016/j.caeai.2022.100076
  31. Mart, M., & Kaya, G. (2024). Investigation of the Relationship Between Preschool Teacher Candidates’ Attitudes Towards Artificial Intelligence and Artificial Intelligence Literacy. Edutech Research, 2(1), 91-109.
  32. Miwa, K., Terai, H., Kanzaki, N., ve Nakaike, R. (2014). An intelligent tutoring system with variable levels of instructional support for instructing natural deduction. Transactions of the Japanese Society for Artificial Intelligence, 29(1), 148-156. https://doi.org/10.1527/tjsai.29.148
  33. Moor, J. 2006. The Dartmouth College artificial intelligence conference: the next fifty years. AI Mag. 27(4), 87– 91. https://doi.org/10.1609/aimag.v27i4.1911
  34. Obschonka, M., & Audretsch, D. B. (2020). Artificial intelligence and big data in entrepreneurship: a new era has begun. Small Bus Econ, (55), 529-539. https://doi.org/10.1007/s11187-019-00202-4
  35. Pannu, A. (2015). Artificial intelligence and its application in different areas. International Journal of Engineering and Innovative Technology, 4(10), 79–84.
  36. Pitel, E., ve Turcanu, A. (2024). Self-Assessment of Digital Literacy of Doctors in Chişinău, Moldova. Applied Medical Informatics, 46(2), 29-36.
  37. Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582–599. https://doi.org/10.1007/s40593-016-0110-3
  38. Russell, S. & Norvig, P. (2010). Artificial Intelligence: A Modern Approach (3rd ed.). Upper Saddle River, NJ: Prentice Hall.
  39. Salas-Pilco, S. Z., Xiao, K., ve Hu, X. (2022). Artificial Intelligence and Learning Analytics in Teacher Education: A Systematic Review. Education Sciences, 12, 569. https://doi.org/10.3390/educsci12080569
  40. Sarıkaya, B. (2024). Determination of Digital Literacy Levels of Turkish Teachers. Journal of Van Yüzüncü Yıl University Faculty of Education, 21(1), 212-229. https://doi.org/10.33711/yyuefd.1415874
  41. Tabachnick, B. G. & Fidell, L. S. (2015). The Use of Multivariate Statistics (Trans. Baloğlu, M.), Nobel Publication Distribution.
  42. Uygun, D., Aktaş, I., Duygulu, İ., ve Köseer, N. (2024). Exploring teachers’ artificial intelligence awareness. Advances in Mobile Learning Educational Research, 4(2), 1093-1124. https://doi.org/10.25082/AMLER.2024.02.004
  43. Üretmen, S. (2024). Turkish EFL Teachers’ Awareness and Perspectives on Artificial Intelligence Incorporation into Language Instruction [Unpublished Master’s Thesis, Necmettin Erbakan University]. Council of Higher Education National Thesis Centre. https://tez.yok.gov.tr.
  44. Wang, B., Rau, P.-L. P., & Yuan, T. (2022). Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale. Behaviour & Information Technology, 42(9), 1324–1337. https://doi.org/10.1080/0144929X.2022.2072768
  45. Xu, W. & Ouyang, F. (2022). A systematic review of AI role in the educational system based on a proposed conceptual framework. Education and Information Technologies, 27, 4195-4223. https://doi.org/10.1007/s10639-021-10774-y
  46. Yang, F. (2020, 7-8 November). Artificial Intelligence in Music Education [Conference presentation]. 2020 International Conference on Robots & Intelligent System (ICRIS), Sanya, China. https://doi.org/10.1109/ICRIS52159.2020.00124
  47. Yıldırım, A., & Simsek, H. (2008). Qualitative research methods in social sciences. Seçkin Publications.
  48. 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/technologies11020042
  49. Yüksekkaya, Ş. (2023). Epistemological Beliefs of Preschool Teachers’ and Digital Literacy Investigation [Unpublished Master’s Thesis, Dicle University]. Council of Higher Education National Thesis Centre. https://tez.yok.gov.tr.
  50. Zhang, Y., Fen, B. W., Zhang, C., & Pi, S. (2024). Transforming Music Education Through Artificial Intelligence: A Systematic Literature Review on Enhancing Music Teaching and Learning. International Journal of Interactive Mobile Technologies, 18(18), 76-93. https://doi.org/10.3991/ijim.v18i18.50545
  51. Zhao, L., Wu, X., ve Luo, H. Developing AI Literacy for Primary and Middle School Teacher in China: Based on a Structural Equation Modeling Analysis. Sustainability, 14, 14549. https://doi.org/10.3390/su142114549