Features of Using Artificial Intelligence in Increasing the Interest of Junior Schoolchildren in Music
3 2
Keywords:
elementary school students, cognitive interest, music, artificial intelligence, features of use.Abstract
We all know that competition in the global education system poses specific tasks for training and educating students in a new direction. Currently, the problem of increasing students' interest in lessons in the country requires the need for them to be conducted by adults and teachers based on the principles of spirituality and morality. Therefore, this article describes the features of using artificial intelligence in music lessons to increase students’ cognitive interest in music in elementary school. In the educational process of primary school, the emphasis is on ways to increase students' cognitive interest in music, conducting lessons in accordance with the music program in an interesting and educational way. In this regard, the use of artificial intelligence, its application to specific topics, the natural influence of artificial intelligence on students, as well as its advantages and disadvantages, were studied and compared.
Music lessons not only interest children but also contribute to their understanding of the mysterious and magical world of music, having a special impact on their spiritual and creative development. For this reason, the article describes the topic of the lesson in detail, and also, based on the article, important aspects of the use of artificial intelligence that are of interest to students are substantiated. Of course, it is impossible to cover all the topics of music lessons in one article and use artificial intelligence all the time. However, we should not forget that the use of artificial intelligence to increase the cognitive interest of primary school students in music is one of the emerging innovations in the field of education.
References
ПАЙДАЛАНЫЛҒАН ӘДЕБИЕТТЕР ТІЗІМІ
Бялик М., Фейдл Ч., Холмс У. Искусственный интеллект в образовании: перспективы и проблемы для преподавания и обучения. – М.: Альпина PRO, 2022. – 304 с.
Воронов М.В., Пименов В.И., Небаев И.А. Системы искусственного интеллекта: учебник и практикум для вузов. – 2-е изд., перераб.и доп. – М.: Юрайт, 2024. – 268 с.
Ли К.-Ф., Чэнь Цюфань: ИИ-2041. Десять образов нашего будущего. – М.: МИФ, 2022. – 605 с.
Қыраубаева А.М., Қасымбек А.А., Мәтбек Н.Қ. Пәнді оқытудағы заманауи ізденістер: технология және жаңашылдық: оқу құралы. – Алматы: Қазақ университеті, 2020. – 350 б.
Раманкулов А.А., Шындалиев Н.Т. Робототехника пәнін оқытуда электронды оқыту құралдары сапасын мобильді қосымша көмегімен жетілдіру // Ясауи университетінің хабаршысы. – 2024. – №4 (134). – Б. 515–528. https.//doi/org/10.47526/2024-4/2664-0686.139
Филатова О.Н., Булаева М.Н., Гущин А.В. Применение нейросетей в профессиональном образовании // Проблемы современного педагогического образования. – 2022. – №77-3. – С. 243–245.
Киссинджер Г., Шмидт Э., Хаттенлокер Д. Искусственный разум и новая эра человечества. – М.: Альпина PRO, 2022. – 195 с.
Miao Fengchun, Holmes Wayne, Ronghyai Huang, Hui Zhang. Технология искусственного интеллекта в образовании: Руководство для лиц, ответственных за формирование политики. – UNESKO Publishing, 2022. – 52 с.
Минаков А.И. Искусственный интеллект и нейросети в образовании. – М.: Директ-Медиа, 2024. – 156 с.
Околелов О.П. Искусственный интеллект в образовании: методическое пособие. – М.: Директ-Медиа, 2020. – 81 с. REFERENCES
Bialik M., Feidl Ch., Holms U. Iskusstvennyi intellekt v obrazovanii: perspektivy i problemy dlia prepodavania i obuchenia [Artificial Intelligence in Education: Prospects and Challenges for Teaching and Learning]. – M.: Alpina PRO, 2022. – 304 s. [in Russian]
Voronov M.V., Pimenov V.I., Nebaev I.A. Sistemy iskusstvennogo intellekta: uchebnik i praktikum dlia vuzov [Artificial Intelligence Systems: Textbook and Workshop for Universities]. – 2-e izd., pererab.i dop. – M.: Iurait, 2024. – 268 s. [in Russian]
Li K.-F., Chen Ciufan: II-2041. Desiat obrazov nashego budushego [Ten images of our future]. – M.: MIF, 2022. – 605 s. [in Russian]
Qyraubaeva A.M., Qasymbek A.A., Matbek N.Q. Pandі oqytudagy zamanaui іzdenіster: tehnologia zhane zhanashyldyq: oqu quraly [Contemporary research in teaching the subject: technology and innovation: training manual]. – Almaty: Qazaq universitetі, 2020. – 350 b. [in Kazakh]
Ramankulov A.A., Shyndaliev N.T. Robototehnika panіn oqytuda elektrondy oqytu quraldary sapasyn mobildі qosymsha komegіmen zhetіldіru [Improving the quality of electronic learning tools in the field of robotics using a mobile application] // Iasaui universitetіnіn habarshysy. – 2024. – №4 (134). – B. 515–528. https.//doi/org/10.47526/2024-4/2664-0686.139 [in Kazakh]
Filatova O.N., Bulaeva M.N., Gushin A.V. Primenenie neirosetei v professionalnom obrazovanii [Application of neural networks in professional education] // Problemy sovremennogo pedagogicheskogo obrazovania. – 2022. – №77-3. – S. 243–245. [in Russian]
Kissindzher G., Shmidt E., Hattenloker D. Iskusstvennyi razum i novaia era chelovechestva [Artificial Intelligence and the New Era of Humanity]. – M.: Alpina PRO, 2022. – 195 s. [in Russian]
Miao Fengchun, Holmes Wayne, Ronghyai Huang, Hui Zhang. Tehnologia iskusstvennogo intellekta v obrazovanii: Rukovodstvo dlia lic, otvetstvennyh za formirovanie politiki [Artificial Intelligence Technology in Education: A Guide for Policy Makers]. – UNESKO Publishing, 2022. – 52 s. [in Russian]
Minakov A.I. Iskusstvennyi intellekt i neiroseti v obrazovanii [Artificial Intelligence and Neural Networks in Education]. – M.: Direkt-Media, 2024. – 156 s. [in Russian]
Okolelov O.P. Iskusstvennyi intellekt v obrazovanii: metodicheskoe posobie [Artificial Intelligence in Education: methodical manual]. – M.: Direkt-Media, 2020. – 81 s. [in Russian]
