Research Article

Investigation of Artificial Intelligence literacy levels of music teachers

Volume: 6 Number: 2 June 30, 2025
EN

Investigation of Artificial Intelligence literacy levels of music teachers

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.

Keywords

Supporting Institution

No funding

Ethical Statement

Before the data collection phase, ethical approval was obtained from the Ethics Committee of the Social and Human Sciences Research and Publication Ethics Committee of Kafkas University on 09/07/2024 with approval number 59.

Thanks

we thanks to music teachers.

References

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  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.

Details

Primary Language

English

Subjects

Music Education

Journal Section

Research Article

Early Pub Date

May 24, 2025

Publication Date

June 30, 2025

Submission Date

December 2, 2024

Acceptance Date

May 3, 2025

Published in Issue

Year 2025 Volume: 6 Number: 2

APA
Üçer, Ö., Yılmaz, H., & Açar, Y. (2025). Investigation of Artificial Intelligence literacy levels of music teachers. Journal for the Interdisciplinary Art and Education, 6(2), 117-132. https://doi.org/10.5281/zenodo.15510414
AMA
1.Üçer Ö, Yılmaz H, Açar Y. Investigation of Artificial Intelligence literacy levels of music teachers. JIAE. 2025;6(2):117-132. doi:10.5281/zenodo.15510414
Chicago
Üçer, Ömer, Hüseyin Yılmaz, and Yakup Açar. 2025. “Investigation of Artificial Intelligence Literacy Levels of Music Teachers”. Journal for the Interdisciplinary Art and Education 6 (2): 117-32. https://doi.org/10.5281/zenodo.15510414.
EndNote
Üçer Ö, Yılmaz H, Açar Y (June 1, 2025) Investigation of Artificial Intelligence literacy levels of music teachers. Journal for the Interdisciplinary Art and Education 6 2 117–132.
IEEE
[1]Ö. Üçer, H. Yılmaz, and Y. Açar, “Investigation of Artificial Intelligence literacy levels of music teachers”, JIAE, vol. 6, no. 2, pp. 117–132, June 2025, doi: 10.5281/zenodo.15510414.
ISNAD
Üçer, Ömer - Yılmaz, Hüseyin - Açar, Yakup. “Investigation of Artificial Intelligence Literacy Levels of Music Teachers”. Journal for the Interdisciplinary Art and Education 6/2 (June 1, 2025): 117-132. https://doi.org/10.5281/zenodo.15510414.
JAMA
1.Üçer Ö, Yılmaz H, Açar Y. Investigation of Artificial Intelligence literacy levels of music teachers. JIAE. 2025;6:117–132.
MLA
Üçer, Ömer, et al. “Investigation of Artificial Intelligence Literacy Levels of Music Teachers”. Journal for the Interdisciplinary Art and Education, vol. 6, no. 2, June 2025, pp. 117-32, doi:10.5281/zenodo.15510414.
Vancouver
1.Ömer Üçer, Hüseyin Yılmaz, Yakup Açar. Investigation of Artificial Intelligence literacy levels of music teachers. JIAE. 2025 Jun. 1;6(2):117-32. doi:10.5281/zenodo.15510414
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