Keywords
maqom san’ati
xalq musiqa ijodi
sun’iy intellekt
raqamli texnologiyalar
raqamlashtirish
musiqa ta’limi
pedagogik model
madaniy meros
musiqiy kompetensiya
raqamli kompetensiya
innovatsion
How to Cite
Abstract
Mazkur maqolada sun’iy intellekt va raqamli texnologiyalar asosida o‘zbek milliy musiqa merosini saqlash va rivojlantirishning pedagogik imkoniyatlari tahlil qilingan. Tadqiqotda milliy musiqa merosini raqamlashtirishning zamonaviy holati, musiqiy ma’lumotlarni saqlash va tizimlashtirish jarayonlarida sun’iy intellekt texnologiyalaridan foydalanish istiqbollari yoritilgan. Shuningdek, maqom san’ati, xalq musiqa ijodi, baxshichilik va folklor namunalarini zamonaviy axborot-kommunikatsiya texnologiyalari vositasida saqlash hamda ta’lim jarayoniga integratsiya qilishning pedagogik asoslari ochib berilgan. Tadqiqot natijasida o‘zbek milliy musiqa merosini saqlash va rivojlantirishning maqsadli, mazmuniy, texnologik, faoliyat va natijaviy komponentlardan iborat pedagogik modeli ishlab chiqilgan. Taklif etilgan model talabalarning musiqiy, madaniy va raqamli kompetensiyalarini rivojlantirish, milliy musiqa merosiga nisbatan qadriyatli munosabatni shakllantirish hamda ta’lim jarayonining samaradorligini oshirishga xizmat qiladi.References
1. Rajabov I. Maqomlar masalasiga doir. - Toshkent: Oʻzdavnashr, 1963. - 348 b.
2. Matyoqubov O. Maqomot. - Toshkent: Musiqa, 2004. - 752 b.
3. Abdullayev R. Oʻzbek mumtoz musiqasi. - Toshkent: Yangi asr avlodi, 2006. - 320 b.
4. Jabborov A. Oʻzbek xalq musiqa ijodi. - Toshkent: Oʻqituvchi, 1994. - 240 b.
5. Jabborov A. Musiqa pedagogikasi asoslari. - Toshkent: Fan va texnologiya, 2008. - 216 b.
6. Yusupov O. Shashmaqom asoslari. - Toshkent: Tafakkur, 2018. - 256 b.
7. Karimov U., Turgʻunov S. Raqamli pedagogika asoslari. - Toshkent: Innovatsion rivojlanish nashriyoti, 2022. - 284 b.
8. UNESCO. Recommendation concerning the Preservation of, and Access to, Documentary Heritage Including in Digital Form. - Paris: UNESCO Publishing, 2015. - 18 p.
9. UNESCO. Culture in the Digital Environment. - Paris: UNESCO Publishing, 2023. - 74 p.
10. Holmes W., Bialik M., Fadel C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. - Boston: Center for Curriculum Redesign, 2019. - 52 p.
11. Luckin R. Machine Learning and Human Intelligence: The Future of Education for the 21st Century. - London: UCL IOE Press, 2018. - 232 p.
12. Herremans D., Chuan C.-H., Chew E. A Functional Taxonomy of Music Generation Systems // ACM Computing Surveys. - 2017. - Vol. 50. - № 5. - P. 1-30.
13. Briot J.-P., Hadjeres G., Pachet F. Deep Learning Techniques for Music Generation. - Cham: Springer, 2020. - 238 p.
14. Crawford T., Gibson L. Modern Methods for Music Information Retrieval. - London: Routledge, 2021. - 314 p.
15. Holmes W. Artificial Intelligence in Education. The Ethics of AI and Learning Analytics. - Paris: UNESCO Publishing, 2022. - 67 p.
16. Redecker C. European Framework for the Digital Competence of Educators (DigCompEdu). - Luxembourg: Publications Office of the European Union, 2017. - 95 p.
17. Selwyn N. Education and Technology: Key Issues and Debates. - London: Bloomsbury Academic, 2021. - 248 p.
18. UNESCO. Reimagining our Futures Together: A New Social Contract for Education. - Paris: UNESCO Publishing, 2021. - 186 p.
19. International Council for Traditional Music. Safeguarding Traditional Music Heritage in the Digital Era. - London, 2020. - 128 p.
20. World Intellectual Property Organization (WIPO). Digital Preservation of Cultural Heritage. - Geneva: WIPO, 2022. - 94 p.
This work is licensed under a Creative Commons Attribution 4.0 International License.