Araştırma Makalesi
BibTex RIS Kaynak Göster

Yıl 2025, Cilt: 6 Sayı: 2, 117 - 132, 30.06.2025

Ömer Üçer , Hüseyin Yılmaz , Yakup Açar

https://doi.org/10.5281/zenodo.15510414

Öz

Kaynakça

  • 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.
  • 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the Relationship between Teachers’ Artificial Intelligence Awareness Levels and Artificial Intelligence Anxiety Levels [Unpublished Master’s Thesis, Gazi University].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.
  • Arıcı, İ. (2023). Artificial intelligence and music education. Journal of Current Researches on Social Sciences, 13(3), 579-584.
  • Arslan, K. (2020). Artificial intelligence and applications in education. West Anatolian Journal of Educational Sciences, 11(1), 71-88.
  • 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
  • Bamigbola, A. A. (2021). Web 3.0 tools and knowledge conversion bydistance learners. Regional Journal of Information and KnowledgeManagement, 6(2), 21–35.
  • 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
  • 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Examination of the Relationship between Preschool Teachers’ Lifelong Learning Dispositions and Digital Literacy Levels [Unpublished Master’s Thesis, Dicle University].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.
  • Büyüköztürk, Ş. (2012). Data analysis handbook (17th edition). Pegem Academy Publications.
  • Büyüköztürk, Ş., Çakmak, E., Akgün, Ö. E., Karadeniz, Ş., & Demirel, F. (2015). Scientific research Methods. Pegem Akademi.
  • 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
  • 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
  • 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
  • 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
  • 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.
  • George, D. & Mallery, P. (2010). SPSS for windows step by step. a Simple Study Guide and Reference (10th Edition). Pearson.
  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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.
  • 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
  • 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.
  • 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.#
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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
  • Pannu, A. (2015). Artificial intelligence and its application in different areas. International Journal of Engineering and Innovative Technology, 4(10), 79–84.
  • Pitel, E., ve Turcanu, A. (2024). Self-Assessment of Digital Literacy of Doctors in Chişinău, Moldova. Applied Medical Informatics, 46(2), 29-36.
  • 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
  • Russell, S. & Norvig, P. (2010). Artificial Intelligence: A Modern Approach (3rd ed.). Upper Saddle River, NJ: Prentice Hall.
  • 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
  • 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
  • Tabachnick, B. G. & Fidell, L. S. (2015). The Use of Multivariate Statistics (Trans. Baloğlu, M.), Nobel Publication Distribution.
  • 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
  • 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.
  • 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
  • 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
  • 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
  • Yıldırım, A., & Simsek, H. (2008). Qualitative research methods in social sciences. Seçkin Publications.
  • 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
  • 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.
  • 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
  • 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

Investigation of Artificial Intelligence literacy levels of music teachers

Yıl 2025, Cilt: 6 Sayı: 2, 117 - 132, 30.06.2025

Ömer Üçer , Hüseyin Yılmaz , Yakup Açar

https://doi.org/10.5281/zenodo.15510414

Öz

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.

Anahtar Kelimeler

Artificial Intelligence Music Music Education Teacher Education AI literacy

Etik Beyan

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.

Destekleyen Kurum

No funding

Teşekkür

we thanks to music teachers.

Kaynakça

  • 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.
  • 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.
  • Arıcı, İ. (2023). Artificial intelligence and music education. Journal of Current Researches on Social Sciences, 13(3), 579-584.
  • Arslan, K. (2020). Artificial intelligence and applications in education. West Anatolian Journal of Educational Sciences, 11(1), 71-88.
  • 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
  • Bamigbola, A. A. (2021). Web 3.0 tools and knowledge conversion bydistance learners. Regional Journal of Information and KnowledgeManagement, 6(2), 21–35.
  • 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
  • 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.
  • Büyüköztürk, Ş. (2012). Data analysis handbook (17th edition). Pegem Academy Publications.
  • Büyüköztürk, Ş., Çakmak, E., Akgün, Ö. E., Karadeniz, Ş., & Demirel, F. (2015). Scientific research Methods. Pegem Akademi.
  • 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
  • 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
  • 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
  • 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
  • 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.
  • George, D. & Mallery, P. (2010). SPSS for windows step by step. a Simple Study Guide and Reference (10th Edition). Pearson.
  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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.
  • 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
  • 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.
  • 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.#
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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
  • Pannu, A. (2015). Artificial intelligence and its application in different areas. International Journal of Engineering and Innovative Technology, 4(10), 79–84.
  • Pitel, E., ve Turcanu, A. (2024). Self-Assessment of Digital Literacy of Doctors in Chişinău, Moldova. Applied Medical Informatics, 46(2), 29-36.
  • 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
  • Russell, S. & Norvig, P. (2010). Artificial Intelligence: A Modern Approach (3rd ed.). Upper Saddle River, NJ: Prentice Hall.
  • 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
  • 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
  • Tabachnick, B. G. & Fidell, L. S. (2015). The Use of Multivariate Statistics (Trans. Baloğlu, M.), Nobel Publication Distribution.
  • 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
  • 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.
  • 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
  • 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
  • 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
  • Yıldırım, A., & Simsek, H. (2008). Qualitative research methods in social sciences. Seçkin Publications.
  • 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
  • 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.
  • 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
  • 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
Toplam 51 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Müzik Eğitimi
Bölüm AI, Metaverse and Advanced Technologies in Art
Yazarlar

Ömer Üçer 0000-0001-6265-6468

Hüseyin Yılmaz 0000-0001-8481-755X

Yakup Açar 0000-0001-8682-6396

Erken Görünüm Tarihi 24 Mayıs 2025
Yayımlanma Tarihi 30 Haziran 2025
Gönderilme Tarihi 2 Aralık 2024
Kabul Tarihi 3 Mayıs 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 6 Sayı: 2

Kaynak Göster

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
 Kapak Resmi İndir
JIAE is the most prestigious peer-reviewed academic journal in the field of art, where your article on art research has undergone high-level review and editing to achieve high visibility and citation potential.27919