Philippine Christian University, Manila, Philippines
People began to emphasize music education gradually. Music teaching can cultivate a person’s quality and sense of beauty. Therefore, it is of great significance to develop music teaching, which is conducive to better learning music. High quality music teaching can achieve better teaching results, so developing music teaching is something that contemporary people need to seriously study. In the traditional music teaching, music teaching ignored the aesthetic characteristics of music, and only single tuned theoretical knowledge, which made the quality of music teaching poor. This paper aimed to study the construction of distance music teaching intelligent classroom under modern information technology (IT). By studying how to integrate the wisdom classroom into teaching, an innovative remote intelligent classroom mode of music teaching was constructed. In this experiment, five classes were selected from the traditional teaching school and the remote intelligent classroom music teaching school under the modern IT for the examination of each subject. The results of the experiment were that in the vocal music test, instrumental music test, solfeggio test, ear training test and written music knowledge test, the average score of the vocal music test of the five classes under the music teaching of the remote intelligent classroom under the modern IT was 82.4, and the average score of the vocal music test of each class in the traditional music teaching was 72.2. The average score of instrumental music test of the five classes under the music teaching of the remote intelligent classroom under the modern IT was 82.2, and the average score of instrumental music test of each class in the traditional music teaching was 71. The average score of the five classes’ solfeggio examination under the music teaching of the remote intelligent classroom under the modern IT was 82.8, and the average score of each class’s solfeggio examination under the traditional music teaching was 73.2. The average score of the ear training test of the five classes under the music teaching of the remote intelligent classroom under the modern IT was 82.4, and the average score of the ear training test of each class in the traditional music teaching was 72.8. The average score of the written examination of music knowledge in the five classes under the music teaching of the remote intelligent classroom under modern IT was 84.4, and the average score of the written examination of music knowledge in each class of traditional music teaching was 73.6. It can be seen from these data that the school class music examination results under the music teaching in the distance intelligent classroom under the modern IT were better than those in the traditional teaching. It can be concluded that the construction of the distance music teaching intelligent classroom under the modern IT really has a positive help students develop quickly music to learn.
Teaching Music, Modern IT, Intelligent Classroom, Traditional Music Teaching
Yanfang Ou. Construction of Intelligent Classroom of Distance Music Teaching under Modern Information Technology. International Journal of Educational Innovation and Science (2023), Vol. 4, Issue 1: 143-155. https://doi.org/10.38007/IJEIS.2023.040113.
 Li L. RETRACTED ARTICLE: Marine ecological monitoring based on wireless sensor technology and the development of traditional music education. Arabian Journal of Geosciences, 2021, 14(18): 1-11.
 Daubney A, Fautley M. Editorial Research: Music education in a time of pandemic. British Journal of Music Education, 2020, 37(2): 107-114.
 Bath N, Daubney A, Mackrill D. The declining place of music education in schools in England. Children & Society, 2020, 34(5): 443-457.
 Smith G D, Powell B, Fish D L. Popular music education: A white paper by the Association for Popular Music Education. Journal of Popular Music Education, 2018, 2(3): 289-298.
 Hess J. Critiquing the critical: The casualties and paradoxes of critical pedagogy in music education. Philosophy of Music Education Review, 2017, 25(2): 171-191.
 Rolle C. What is right? What is wrong? Music education in a world of pluralism and diversity. Philosophy of Music Education Review, 2017, 25(1): 87-99.
 Crawford R. Rethinking teaching and learning pedagogy for education in the twenty-first century: blended learning in music education. Music Education Research, 2017, 19(2): 195-213.
 Eyles A M. Teachers' perspectives about implementing ICT in music education. Australian Journal of Teacher Education, 2018, 43(5): 110-131.
 Mumin U A. The Role of Information Technology in Education World (Peran Teknologi Informasi Dalam Bidang Pendidikan; E-education). Al-Afkar, Journal for Islamic Studies, 2019, 2(1): 104-119.
 Dudar V L, Riznyk V V, Kotsur V V. Use of modern technologies and digital tools in the context of distance and mixed learning. Linguistics and Culture Review, 2021, 5(S2): 733-750.
 Yang C, Huang Q, Li Z. Big Data and cloud computing: innovation opportunities and challenges. International Journal of Digital Earth, 2017, 10(1): 13-53.
 Zhou Y, Zhang D, Xiong N. Post-cloud computing paradigms: a survey and comparison. Tsinghua Science and Technology, 2017, 22(6): 714-732.
 Dharma F, Shabrina S, Noviana A, et al. Prediction of Indonesian inflation rate using regression model based on genetic algorithms. Jurnal Online Informatika, 2020, 5(1): 45-52.
 Sun Y, Xue B, Zhang M, et al. Automatically designing CNN architectures using the genetic algorithm for image classification. IEEE transactions on cybernetics, 2020, 50(9): 3840-3854.
 Saini M K, Goel N. How smart are smart classrooms? A review of smart classroom technologies. ACM Computing Surveys (CSUR), 2019, 52(6): 1-28.