The Effects of Artificial Intelligence and STEAM Applications on Visual Arts Education
DOI:
https://doi.org/10.46328/ijte.7101Keywords:
Visual arts education, Academic achievement, Artificial intelligence, STEAM, Learning retentionAbstract
This research aims to examine the effects of artificial intelligence and STEAM applications on the academic achievement, attitudes towards the course, and learning retention of ninth-grade high school students in Visual Arts. A pre-test-post-test control group experimental design was used in the study. The research was conducted in a high school located in the Mamak district of Ankara during the second semester of the 2025-2026 academic year. The sample consisted of 60 ninth-grade students selected using a random sampling method. The experimental group included 30 students (16 girls, 14 boys), and the control group included 30 students (15 girls, 15 boys). The application was carried out in six sessions within the scope of the "Art Criticism and Aesthetics" unit. In the experimental group, web-based artificial intelligence and STEAM applications were used for instruction, while traditional teaching methods were applied in the control group. A 25-question achievement test developed by the researcher and the Visual Arts Course Attitude Scale developed by Ayaydın and Özsoy (2011) were used as data collection tools. A retention test was administered two months after the application. The findings initially showed no significant difference in academic achievement and attitude between the experimental and control groups (p>0.05). However, post-test results revealed that the experimental group, where artificial intelligence and STEAM applications were implemented, had significantly higher academic achievement scores than the control group (p<0.05). Similarly, the attitude scores of the experimental group were found to be significantly higher than those of the control group (p<0.05). Retention test results also showed that the experimental group had higher learning retention than the control group (p<0.05). In conclusion, it was determined that artificial intelligence and STEAM applications positively affect students' academic achievement, attitudes towards the course, and learning retention in Visual Arts lessons. These findings demonstrate that innovative technology-supported teaching approaches are effective in Visual Arts education compared to traditional teaching methods.
References
Adamakis, M., & Rachiotis, T. (2025). Artificial intelligence in higher education: A state-of-the-art overview of pedagogical integrity, artificial intelligence literacy, and policy integration. Encyclopedia, 5(4), 180. https://doi.org/10.3390/encyclopedia5040180
Ahrenby, H., Häikiö, T. K., & Marklund, F. (2025). Teaching materials in visual arts education – policy and traditions. Scandinavian Journal of Educational Research, 1-13. https://doi.org/10.1080/00313831.2025.2516854
Arpaci, I., Dogru, M. S., Kanj, H., Ali, N., & Bahari, M. (2023). An experimental study on the implementation of a STEAM-based learning module in science education. Sustainability, 15(8), 6807. https://doi.org/10.3390/su15086807
Astaño, J. (2025). Trends and Challenges in the Classroom Implementation of Engineering Design Process (EDP): A Systematic Literature Review. International Journal of Education Science, 2(1), 55-74.
Ayaydın, A., & Özsoy, V. (2011). Çoklu Zekâ Kuramı’na Dayalı Öğretimin İlköğretim 6. Sınıf Resim-İş Dersinde Öğrenci Tutumuna Etkisi. Türk Eğitim Bilimleri Dergisi, 9(3), 497-518.
Bertrand, M. G., & Namukasa, I. K. (2023). A pedagogical model for STEAM education. Journal of Research in Innovative Teaching, 16(2), 169-191. https://doi.org/10.1108/JRIT-12-2021-0081
Bian, C., Wang, X., Huang, Y., Zhou, S., & Lu, W. (2025). Effects of AI-generated images in visual art education on students' classroom engagement, self-efficacy and cognitive load. Humanities & Social Sciences Communications, 12(1), 1548-14. https://doi.org/10.1057/s41599-025-05860-2
Çalışır, S. (2021). Görsel sanatlar dersi öğretim programı (ortaokul) ve görsel sanatlar öğretmen kılavuz kitabı'nda çevre eğitimi [Yayınlanmamış Yüksek Lisans Tezi], Anadolu Üniversitesi, Eğitim Bilimleri Enstitüsü, Eskişehir.
Chen, C., & Huang, P. (2023). The effects of STEAM-based mobile learning on learning achievement and cognitive load. Interactive Learning Environments, 31(1), 100-116. https://doi.org/10.1080/10494820.2020.1761838
Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two decades of artificial intelligence in education: Contributors, collaborations, research topics, challenges, and future directions. Educational Technology & Society, 25(1), 28-47. https://doi.org/10.30191/ETS.202201_25(1).0003
Chen, Y. (2024). Integrating social-emotional learning in Chinese junior high school art education to foster mental health. The Education Review, USA, 8(2), 211-215. https://doi.org/10.26855/er.2024.02.002
Chiu, M., & Hwang, G. (2024). Enhancing students’ critical thinking and creative thinking: An integrated mind mapping and robot-based learning approach. Education and Information Technologies, 29(17), 22779-22812. https://doi.org/10.1007/s10639-024-12752-6
Christ, A., Penthin, M., & Kröner, S. (2021). Big data and digital aesthetic, arts, and cultural education: Hot spots of current quantitative research. Social Science Computer Review, 39(5), 1-23. https://doi.org/10.1177/0894439319888455
Clark-Fookes, T. (2025). Arts education’s wicked problem: Tensions between reliability and validity in arts assessment. Arts Education Policy Review, 1-15. https://doi.org/10.1080/10632913.2025.2515044
Corrales Serrano, M. (2023). Gamification and the history of art in secondary education: A didactic intervention. Education Sciences, 13(4), 389. https://doi.org/10.3390/educsci13040389
Coskun, E. (2025). An investigation of the relationship between academic self-efficacy, achievement motivation, and smartphone addiction. International Journal on Studies in Education, 7(4), 959-977.
Dignam, C. (2024). Harmonies on the String: Exploring the Synergy of Music and STEM. International Journal of Technology in Education and Science, 8(3), 491-521.
Dignam, C. (2025). Makerspace and the 5 C’s of learning: Constructing, collaborating, communicating, critically-thinking, and creatively-thinking. International Journal of Studies in Education and Science, 6(1), 104-127.
Dignam, C., Pennington, L. K., & Daifallah, A. (2024). Beyond the Acronym: Interconnections of STEAM, the Humanities, and Digital Citizenship. International Journal on Social and Education Sciences, 6(3), 452-480.
Dignam, C., Sexton, R., & Muñoz, X. (2025). Beyond the acronym: Interlacing STEAM, special education, and guiding inquiry. International Journal on Studies in Education, 7(2), 304-330.
Erol, M., & Erol, A. (2023). Reflections of STEAM Education on Children According to Early Childhood and Primary School Teachers. International Journal on Social and Education Sciences, 5(3), 493-506.
Essuman, B., Essel, H. B., Steiner, R., Akuteye, A. D., & Essuman, A. B. (2025). Digital literacy, motivation, self-regulation, interest, and task difficulty as predictors of performance in online learning: A path analysis. International Journal of Current Educational Studies, 4(1), 23-46.
Fang, F., & Jiang, X. (2024). The analysis of artificial intelligence digital technology in art education under the internet of things. IEEE Access, 12, 1-1. https://doi.org/10.1109/ACCESS.2024.3363655
Garcia‐Lazo, V., Donoso, V., Springinzeisz, K., & Jeldres, R. (2024). The potential of visual arts education: Strengthening Pre‐Service primary teachers’ cultural identity. The International Journal of Art & Design Education, 43(2), 221-240. https://doi.org/10.1111/jade.12499
Gış, H., & Topal, A. D. (2025). Sanatta dijital dönüşüm: Görsel sanatlar eğitiminde teknoloji entegrasyonuna yönelik eğilimler ve bulgular. Academic Journal of Information Technology, 16(4), 402-421. https://doi.org/10.5824/ajite.2025.04.005.x
Graham, M. A. (2021). The disciplinary borderlands of education: Art and STEAM education (los límites disciplinares de la educación: Arte y educación STEAM). Infancia y Aprendizaje, 44(4), 769. https://doi.org/10.1080/02103702.2021.1926163
Heaton, R. (2025). Making peace with artificial intelligence (AI) in art education. The International Journal of Art & Design Education. https://doi.org/10.1111/jade.12614
Houghton, T., Lavicza, Z., Rahmadi, I. F., Diego-Mantecón, J.-M., Fenyvesi, K., Weinhandl, R., & Ortiz-Laso, Z. (2022). STEAMTEACH Austria : Towards a STEAM Professional Development Program. International Journal of Research In Education and Science, 8(3), 502-512. https://doi.org/10.46328/ijres.2747
Ijalo, A. I. (2025). VODCast as a Tool for Flipped General Physics. International Journal of Technology in Education Science, 2(2), 168-187.
Irdalisa, I., Zulherman, Z., Elvianasti, M., Widodo, S. A., & Hanum, E. (2024). Effectiveness of project-based learning on STEAM-based student’s worksheet analysis with ecoprint technique. International Journal of Educational Methodology, 10(1), 923-935. https://doi.org/10.12973/ijem.10.1.923
Kara, S. (2021). An Investigation of Technological Pedagogical and Content Knowledge (TPACK) Competencies of Pre-Service Visual Arts Teachers. International Journal of Technology in Education, 4(3), 527-541.
Karampelas, K. (2025). Investigating the Relationship between STEAM and NOS Education Bibliometrically. International Journal of Education in Mathematics, Science and Technology, 13(2), 357-383.
Karlsson Häikiö, T. (2022). Challenges and changes in arts education in Sweden -- visual communication, visual culture and visual competence in the syllabus for visual arts. Journal of Visual Literacy, 41(3-4), 201. https://doi.org/10.1080/1051144X.2022.2132621
Kaşarcı, İ., Akın Demircan, Z., Çeliker Ercan, G., & İnci, T. (2025). Managing Artificial Intelligence Ethics in Higher Education: A Systematic Framework for Issues and Policy Recommendations. International Journal of Current Educational Studies, 4(2), 112-137. https://doi.org/10.46328/ijces.223
Kastner, L., Umbach, N., Jusyte, A., Cervera-Torres, S., Fernández, S. R., Nommensen, S., & Gerjets, P. (2021). Designing visual-arts education programs for transfer effects: Development and experimental evaluation of (digital) drawing courses in the art museum designed to promote adolescents' socio-emotional skills. Frontiers in Psychology, 11, 603984. https://doi.org/10.3389/fpsyg.2020.603984
Kibici, V. B. (2025a). New Trends in Music Education: Technological Approaches from a 21st-Century Perspective. Studies on Education, Science, and Technology 2025, 160.
Kibici, V.B. (2025b). Examining the digital literacy and artificial intelligence attitudes of university students studying arts. International Journal of Education in Mathematics, Science, and Technology (IJEMST), 13(5), 1283-1297. https://doi.org/10.46328/ijemst.5839
Kretzschmar, V., Sailer, A., Wertenauer, M., & Seitz, J. (2024). Enhanced educational experiences through personalized and AI-based learning. International Journal on Studies in Education (IJonSE), 6(2), 191-209. https://doi.org/10.46328/ijonse.206
Le, S. (2023). Team-based learning in online education: The development of students’ creative thinking skills in digital art. Education and Information Technologies, 28(11), 14967-14986. https://doi.org/10.1007/s10639-023-11808-3
Li, S., & Gu, X. (2023). A risk framework for human-centered artificial intelligence in education: Based on literature review and delphi-AHP method. Educational Technology & Society, 26(1), 187-202. https://doi.org/10.30191/ETS.202301_26(1).0014
Liao, C., Chen, H., Chen, B., Wang, I., Ho, W., & Huang, W. (2025). Exploring the application of text-to-image generation technology in art education at vocational senior high schools in Taiwan. Information, 16(5), 341. https://doi.org/10.3390/info16050341
Lilliedahl, J. (2022). Why the arts are not considered core knowledge in secondary education: A Bernsteinian analysis. Journal of Curriculum Studies, 54(2), 165-178. https://doi.org/10.1080/00220272.2021.1925971
Mayanti, A. N. R., & Widiyatmoko, A. (2025). The Effect of Canva-Assisted" PjBLSTEAM" to Improve Creative Thinking and Collaboration on Energy Concept. International Journal of Technology in Education and Science, 9(3), 299-321.
Morales, M. P. E., Mercado, F. M., Palisoc, C. P., Palomar, B. C., Avilla, R. A., Sarmiento, C. P., ... & Ayuste, T. O. D. (2021). Teacher Professional Development Program (TPDP) for Teacher Quality in STEAM Education. International Journal of Research in Education and Science, 7(1), 188-206.
Mun, K. (2022). Aesthetics and STEAM education: The case of Korean STEAM curricula at the art high school. International Journal of Science Education, 44(5), 854-872. https://doi.org/10.1080/09500693.2021.2011467
Munoz, S. R. (2024). Original without an aura: How AI art intersects with visual arts education.
Nurramadhani, A., Kumala, F., & Permana, I. (2021). STEAM-based project learning: The effect to middle school’s student’s collaboration competences. Journal of Physics: Conference Series, 2098(1), 12038. https://doi.org/10.1088/1742-6596/2098/1/012038
Oanh, D. T. K., & Dang, T. D. H. (2025). Effect of STEAM project-based learning on engineering students’ 21st century skills. European Journal of Educational Research, 14(3), 705-721. https://doi.org/10.12973/eu-jer.14.3.705
Onuorah, B. O., Ekwam, E. O., Okebukola, P., Ahove, M., & Ugwuoke, U. (2025). Effect of technology-education-art (TEA) artificial intelligence model on students’ attitude toward biological drawing. Journal of Applied Research in Higher Education, 1-11. https://doi.org/10.1108/JARHE-12-2024-0730
Osei-Bonsu, R. (2024). Gender Lens in STEM Education: General Overview of Access, Distribution, and Disparities. International journal of Technology in Education Science, 1(1), 1-28.
Özdemir, S. (2023). Lise öğrencileri için sanal ortamla desteklenen görsel sanatlar eğitimi. [Yayınlanmamış Doktora Tezi], Ankara Üniversitesi, Eğitim Bilimleri Enstitüsü, Ankara.
Özsoy, V. (2022). Eğitimde görsel sanatlar (1. baskı). Pegem Akademi Yayıncılık.
Samarescu, N., Bumbac, R., Zamfiroiu, A., & Iorgulescu, M. C. (2024). Artificial intelligence in education: Next-gen teacher perspectives. Amfiteatru Economic, 26(65), 145-161. https://doi.org/10.24818/EA/2024/65/145
Shettar, M. R., Lathiwale, Z. S. M., & Kulhalli, M. (2021). The role of ICT in higher education in selected places during COVID-19. Journal of Research in Social Sciences and Language, 1(1), 42-54.
Shi, Y. (2025). Multimodal teaching in digital media arts education: Insights and challenges from teachers' perspectives. Cogent Education, 12(1). https://doi.org/10.1080/2331186X.2025.2590849
Tenhovirta, S., Korhonen, T., Seitamaa-Hakkarainen, P., & Hakkarainen, K. (2022). Cross-age peer tutoring in a technology-enhanced STEAM project at a lower secondary school. International Journal of Technology and Design Education, 32(3), 1701-1723. https://doi.org/10.1007/s10798-021-09674-6
Wang, S., Wang, H., Lu, Y., & Huang, J. (2024). Toward a comprehensive evaluation of student knowledge assessment for art education: A hybrid approach by data mining and machine learning. Applied Sciences, 14(12), 5020. https://doi.org/10.3390/app14125020
Wu, Y., Cheng, J., & Koszalka, T. A. (2021). Transdisciplinary approach in middle school: A case study of co-teaching practices in STEAM teams. International Journal of Education in Mathematics, Science, and Technology (IJEMST), 9(1), 138-162. https://doi.org/10.46328/ijemst.1017
Xiao, L., An, X., Chen, N., & Chen, B. (2024). The children’s psychological emotion recognition on STEAM education. Current Psychology, 43(37), 29738-29749. https://doi.org/10.1007/s12144-024-06618-w
Xu, B. (2024). Practice of digital media art education based on virtual reality technology. Journal of Electrical Systems, 20(3s), 1714-1723. https://doi.org/10.52783/jes.1711
Yim, I. H. Y., Su, J., & Wegerif, R. (2025). STEAM in practice and research in primary schools: A systematic literature review. Research in Science & Technological Education, 43(4), 1065-1089. https://doi.org/10.1080/02635143.2024.2440424
Zlateva, A. (2025). Artificial intelligence in art education: Transforming visual arts training. International Journal of Cognitive Research in Science, Engineering and Education, 13(2), 481-489. https://doi.org/10.23947/2334-8496-2025-13-2-481-489
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