Μουσική Εκπαίδευση και Πολιτισμική Επικοινωνία: Συνδημιουργία και Παραγωγή Περιεχομένου με τη Χρήση Τεχνητής Νοημοσύνης

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Δημοσιευμένα: Φεβ 24, 2026
DOI: https://doi.org/10.12681/cclabs.9675
Λέξεις-κλειδιά:
AI music education Generative music tools Human-AI co-creation Ethics of Technology Personalized Learning
Δημήτρης Χατζηγιαννάκης
Αγνή Παπαδοπούλου
Περίληψη

This paper explores the creative integration of Artificial Intelligence (AI) in primary music education, focusing on the use of BandLab and tools such as SongStarter and automated mastering functions. AI is employed not merely as a technological tool but as a catalyst for reimagining music creation, empowering student voice, and facilitating accessibility (Cheng, 2025; Zhang et al., 2024). Through the methodology of a/r/tography, students engaged actively in composing, recording, and mixing musical works, enhancing creativity, collaboration, and cultural self-expression (Bell, 2016; Irwin et al., 2006). The findings highlight AI’s potential to support personalized learning and foster cultural communication, confirming that its thoughtful integration can contribute to the democratization of music education. At the same time, the study surfaces ethical concerns regarding data usage and privacy (Moquin, 2024), underlining the necessity of a critical pedagogical framework (Chatzigiannakis & Papadopoulou, 2025; Webster, 2011).

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  • Ενότητα
  • 4ο Ελληνόφωνο Επιστημονικό Συνέδριο Εργαστηρίων Επικοινωνίας
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Αναφορές
Ban, J. and Noor, A. (2024). Empowering music education: leveraging digital audio technology in the pursuit of vocal mastery – a case study of the modern popular singing course. International Journal of Academic Research in Progressive Education and Development, 13(4). https://doi.org/10.6007/ijarped/v13-i4/23050
BandLab. (2022, March 8). BandLab gets into AI music with new SongStarter feature. Retrieved from https://musically.com/2022/03/08/bandlab-gets-into-ai-music-with-new-songstarter-feature/
Bartleet, B., Grant, C., Mani, C., & Tomlinson, V. (2020). Global mobility in music higher education: Reflections on how intercultural music-making can enhance students’ musical practices and identities. International Journal of Music Education, 38(2), 161–176. https://doi.org/10.1177/0255761419890943
Barton, G., & Riddle, S. (2021). Culturally responsive and meaningful music education: Multimodality, meaning-making, and communication in diverse learning contexts. Research Studies in Music Education, 44(2), 345–362. https://doi.org/10.1177/1321103x211009323
Bauer, W. (2020). Music learning today: Digital pedagogy for creating, performing, and responding to music. Oxford University Press. https://doi.org/10.1093/oso/9780197503706.001.0001
Becker, C. (2018). A sense of wonder: an a/r/tographer’s musings on seeing and being in the world / un sentiment d’émerveillement : réflexions d’un a/r/tographe sur l’observation d’un monde et sa place en ce monde. The Canadian Review of Art Education / Revue Canadienne D’éducation Artistique, 45(1), 108-128. https://doi.org/10.26443/crae.v45i1.51 Bell, A. P. (2016). Toward the current: Democratizing music teaching with music technology. In L. DeLorenzo (Ed.), Giving Voice to Democracy in Music Education: Diversity and Social Justice (pp. 138–156). Routledge.
Berkowitz, A. (2024). Artificial intelligence and musicking. Music Perception, 41(5), 393-412. https://doi.org/10.1525/mp.2024.41.5.393
Bond, V., & Russell, J. (2019). Music teacher educator perceptions of and engagement with culturally responsive education. Bulletin of the Council for Research in Music Education, (221), 7–28. https://doi.org/10.5406/bulcouresmusedu.221.0007
Buffa, M., Vidal-Mazuy, A., May, L., & Winckler, M. (2023). Wam-studio: a web-based digital audio workstation to empower cochlear implant users., 101-110. https://doi.org/10.1007/978-3-031-42280-5_6
Charalambidou, C., & Mygdanis, Y. (2024). Designing and applying educational scenarios using Synth4Kids musical educational software in preschool education. International Journal on Integrating Technology in Education, 15(3), 65–76. https://doi.org/10.5121/ijite.2024.13305
Chatzigiannakis, D., Papadopoulou, A., (2023). Artificial Intelligence and the Democratization of Music Ai-[e]ducation.
Chatzigiannakis, D., Papadopoulou, A., & Floros, A. (2022). Arduino vs Lego Education: Open-source vs proprietary model in music education.
Cheng, L. (2025). The impact of generative AI on school music education: Challenges and recommendations. Arts Education Policy Review, 1–8. https://doi.org/10.1080/10632913.2025.2451373
Crawford, R. (2020). Beyond the dots on the page: Harnessing transculturation and music education to address intercultural competence and social inclusion. International Journal of Music Education, 38(4), 537–562. https://doi.org/10.1177/0255761420921585
Fritsche, K. (2022). Teaching digital audio skills – status, example scenarios and agenda for embedding the digital audio workstation (daw) garageband in a digital humanities teaching-learning scenario.. https://doi.org/10.33422/3rd.globalet.2022.07.200
Good-Perkins, E. (2019). Arab students’ perceptions of university music education in the United Arab Emirates: A discussion of music education and cultural relevance. International Journal of Music Education, 37(4), 524–535. https://doi.org/10.1177/0255761419853627
Güneş, N., Aksoy, S., & Özsoy, V. (2020). The role of the a/r/tography method in art teacher training. Universal Journal of Educational Research, 8(10), 4909–4919. https://doi.org/10.13189/ujer.2020.081063
Häikiö, T. K. and Hellman, A. (2024). Becoming a visual arts teacher with a/r/tography. Nordic Journal of Art &Amp; Research, 13(3), 1-27. https://doi.org/10.7577/ar.5456
Hannula, M., Suoranta, J., & Väden, T. (2005). Artistic research: Theories, methods and practices. Espoo: Academy of Fine Arts, Helsinki and University of Gothenburg.
Illeris, H., Nødtvedt Knudsen, K., & Skregelid, L. (2022). A/r/tografi som tilgang til udvikling af en sanselig bæredygtighedsdidaktik i kunstfagene. Nordic Journal of Art & Research, 11(1), https://doi.org/10.7577/information.5067
Irwin, R. L. & Springgay, S. (2008). A/r/tography as practice-based research. In S. Springgay, R. L. Irwin, C. Leggio, & P. Gouzouasis (Eds.). Being with a/r/tography (pp. xix–xxxiii). Sense Publishers. https://doi.org/10.1163/9789087903268
Irwin, R. L., Beer, R., Springgay, S., Grauer, K., Xiong, G., & Bickel, B. (2006). The rhizomatic relations of a/r/tography. Studies in Art Education, 48(1), 70–88.
Irwin, R.L., Bickel, B., Triggs, V., Springgay, S., Beer, R., Grauer, K., Xiong, G. and Sameshima, P. (2009), The City of Richgate: A/r/tographic Cartography as Public Pedagogy. International Journal of Art & Design Education, 28: 61-70. https://doi.org/10.1111/j.1476-8070.2009.01593.x
Kelly-McHale, J. (2018). Research-to-resource: Developing a culturally responsive mind-set in elementary general music. Update: Applications of Research in Music Education, 37(2), 11–14. https://doi.org/10.1177/8755123318810111
Kidd, E. (2021). Using digital music production as a culture catalyst., 122-139. https://doi.org/10.4018/978-1-7998-5808-9.ch008
Knapp, D., Powell, B., Smith, G., Coggiola, J., & Kelsey, M. (2023). Soundtrap usage during covid-19: a machine-learning approach to assess the effects of the pandemic on online music learning. Research Studies in Music Education, 45(3), 571-584. https://doi.org/10.1177/1321103x221149374
Konovalova, I., Breslavets, H., Riabukha, N., Polska, I., Shchepakin, V., & Roshchenko, O. (2025). The evolution of world music pedagogy in the information society. Brain. Broad Research in Artificial Intelligence and Neuroscience, 16(1 Sup1), 99–113. https://doi.org/10.70594/brain/16.s1/9
LeBlanc, N., Davidson, S. F., Ryu, J. Y., & Irwin, R. L. (2024). Becoming through a/r/tography, autobiography and stories in motion1. International Journal of Education Through Art, 20(1), 69-89. https://doi.org/10.1386/eta_00152_1
Leggo, C. and Irwin, R. (2013). Becoming pedagogical: sustaining hearts with living credos. In Education, 19(1). https://doi.org/10.37119/ojs2013.v19i1.41
Liang, Q. and Kee, C. (2025). Ethical perceptions of artificial intelligence in music: a study of undergraduate music students in shandong, china. IJAMRS, 5(1), 1221-1226. https://doi.org/10.62225/2583049x.2025.5.1.3787
Lucas, A., Cunningham, J., Harrison, J., Schroeder, F., & McPherson, A. (2025). The qualities of convivial tools and their relevance to music software accessibility. Acm Transactions on Accessible Computing. https://doi.org/10.1145/3733606
May, E. (2024). Critical pedagogy and disability in participatory research: A review. Information and Learning Sciences, 125(7/8), 437–455. https://doi.org/10.1108/ILS-02-2023-0021
McQueen, R. (2022). Enhancing student agency in the primary music classroom through culturally responsive practice. Teachers and Curriculum, 22(2), 89–98. https://doi.org/10.15663/tandc.v22i2.403
Moquin, S. (2024, November 26). Ethical considerations for AI use in education. Εnrollify. Retrieved June 1, 2025, from https://www.enrollify.org/blog/ethical-considerations-for-ai-use-in-education
Qian, C. (2023). Research on human-centered design in college music education to improve student experience of artificial intelligence-based information systems. Journal of Information Systems Engineering & Management, 8(3), 23761. https://doi.org/10.55267/iadt.07.13854
Salvador, K., & Culp, M. (2022). Intersections in music education: Implications of universal design for learning, culturally responsive education, and trauma-informed education for P–12 praxis. Music Educators Journal, 108(3), 19–29. https://doi.org/10.1177/00274321221087737
Sánchez-Jara, J., Gutiérrez, S., Rodríguez, J., & Syroyid, B. (2024). Artificial intelligence-assisted music education: a critical synthesis of challenges and opportunities. Education Sciences, 14(11), 1171. https://doi.org/10.3390/educsci14111171
Saputra, D., Cahyono, A., Utomo, U., Raharjo, E., & Nainggolan, O. (2024). Integrating tradition and technology: digital audio workstation-based learning for traditional music preservation. Resital Jurnal Seni Pertunjukan, 25(2), 321-337. https://doi.org/10.24821/resital.v25i2.13913
Sembiring, P. (2025). Collaborative music learning : utilizing n-track application in private music education. Jurnal Kependidikan Jurnal Hasil Penelitian Dan Kajian Kepustakaan Di Bidang Pendidikan Pengajaran Dan Pembelajaran, 11(2), 679. https://doi.org/10.33394/jk.v11i2.15002
Springgay, S., Irwin, R., & Wilson Kind, S. (2005). A/r/tography as living inquiry through art and text. Qualitative Inquiry, 11(6), 897–912. https://doi.org/10.1177/1077800405280696
Tarlovskaia, A. (2025). Rethinking musical creativity: the ethical and artistic challenges of ai-generated music.. https://doi.org/10.22501/rc.3750905
Tobias, E. S. (2016). Learning with digital media and technology in hybrid music classrooms. In C. Kaschub & J. Smith (Eds.), Teaching general music: Approaches, issues, and viewpoints (pp. 112–140). Oxford University Press.
Viadel, R. M., Arias-Camisón, C. A., & Varea, A. (2019). A participatory social a/r/tography: bodies and houses metamorphosing from schools in tegucigalpa to a liverpool tate exchange event. International Journal of Art &Amp; Design Education, 38(3), 627-638. https://doi.org/10.1111/jade.12239
Waterman, E., Parkes, E., Cimon, G., & Stewart, J. (2025). Expanding the music circle through networked improvisation in an inclusive ensemble. International Journal of Music Education. Advance online publication. https://doi.org/10.1177/02557614251329445
Webster, P. R. (2011). Key research in music technology and music teaching and learning. Journal of Music Technology and Education, 4(2–3), 115–130.
What is SongStarter?. Bandlab. (2024, August 23). https://help.bandlab.com/hc/en-us/articles/24226593087001-What-is-SongStarter
Wong, M. (2021). The ecology for fostering the musical creativity of students with intellectual disabilities. International Journal of Music Education, 40(2), 190–204. https://doi.org/10.1177/02557614211031255
Yadav, D. (2024). Navigating the landscape of ai integration in education: opportunities, challenges, and ethical considerations for harnessing the potential of artificial intelligence (ai) for teaching and learning. BSSS Journal of Computer, 15(1), 38-48. https://doi.org/10.51767/jc1503
Yu, P., Lu, S., Long, Z., Chen, Y., Qian, J., & Shah, Z. (2024). Exploring ethical considerations in utilizing generative ai for global knowledge sharing in higher education., 1-27. https://doi.org/10.4018/979-8-3693-0487-7.ch001
Zhang , Y., Beh Wen Fen, Chao Zhang, & Sheng Pi. (2024). Transforming Music Education Through Artificial Intelligence: A Systematic Literature Review on Enhancing Music Teaching and Learning. International Journal of Interactive Mobile Technologies (iJIM), 18(18), pp. 76–93. https://doi.org/10.3991/ijim.v18i18.50545
Zhang, P., & Sui, X. (2017). Application of digital music technology in music pedagogy. International Journal of Emerging Technologies in Learning (iJET), 12(12), 4–10. https://doi.org/10.3991/ijet.v12i12.7966
Zhang, Y. (2023). Utilizing computational music analysis and ai for enhanced music composition: exploring pre- and post-analysis. Journal of Advanced Zoology, 44(S6), 1377-1390. https://doi.org/10.17762/jaz.v44is6.2470
Παπαδοπούλου, Α. (2023). Μουσική αντίληψη, εμπειρία και πολιτισμικές συμπεριφορές: Αφηγηματική λειτουργία της παραδοσιακής ελληνικής μουσικής συνυφασμένη με τις αξίες της αειφορίας. Διεθνές Φεστιβάλ CIOFF Μεσογειακών Πολιτισμών, 6-10 Σεπτεμβρίου 2023, Κέρκυρα
Χατζηγιαννάκης Δ., & Παπαδοπούλου Α. (2025). Τεχνητή Νοημοσύνη και Μουσική Εκπαίδευση: Προβολή και Διαφύλαξη Μουσικής Παράδοσης και Πολιτιστικής Κληρονομιάς. Ετήσιο Ελληνόφωνο Επιστημονικό Συνέδριο Εργαστηρίων Επικοινωνίας, 3(1), 229–244. https://doi.org/10.12681/cclabs.8076