Abstract
In response to the problems of low data interaction efficiency, long system response time, and poor quality of music teaching in traditional teaching systems, this article proposes a study on building a music intelligent interactive teaching system based on the J2EE platform. Choose J2EE as the system development platform, analyze and explore its main service functions, allocate short addresses of each device reasonably, and complete the system network communication design. The use of ASP and ADO technology to achieve intelligent interaction of teaching data provides a foundation for achieving intelligent interactive teaching of music. Using genetic algorithm to intelligently generate test papers, complete the design of the music teaching exam module, and thus achieve the operation of the music intelligent interactive teaching system. The experimental data shows that after applying the designed system, the maximum interaction efficiency of teaching data reaches 188MB/s, the minimum response time of the system is 0.45 s, and the highest score for music teaching is 98 points, fully verifying the better application performance of the designed system.
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References
Gibson, S.J.: Shifting from offline to online collaborative music-making, teaching and learning: perceptions of Ethno artistic mentors. Music. Educ. Res. 23(2), 1–16 (2021)
Lyu, D., Wang, Z.: Design and implementation of an intelligent classroom teaching system for music class based on internet of things. Int. J. Emerg. Technol. Learn. (iJET) 16(18), 171–184 (2021)
Long, C., Wang, S.: Music classroom assistant teaching system based on intelligent speech recognition. J. Intell. Fuzzy Syst. 14, 1–10 (2021)
Fitzgerald, M., Costello, R.: Book review. Irish J. Med. Sci. 175(3), 79–80 (2006). https://doi.org/10.1007/BF03169180
Cain, T., Mariguddi, A.: Research-informed teaching: the case of musical futures. Br. Edu. Res. J. 48(3), 519–535 (2022)
Hawkes, M.E.: Experiences of developing pre-performance routines with recreational pianists. Psychol. Music 49(6), 1721–1736 (2021)
Yoku, T.: The effect of metacognitive strategies-based teaching practice in guitar education on performance achievement. Psychol. Music 49(6), 1605–1619 (2021)
Shin, J.: Preservice music teachers in Korea and their collaborative reflection with peers. Int. J. Music. Educ. 39(4), 371–382 (2021)
Zhao, H., Guo, L.: Design of intelligent computer aided network teaching system based on web. Comput. Aid. Des. App. 19(S1), 12–23 (2021)
Yong, Y., Minsi, Z., Bo, W., et al.: Design of simulation system for discontinuity network in rock mass and its application in teaching. Comput. Simul. 39(9), 268–272 (2022)
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Jiangxi College Humanities Social Science 2020 Project----The Infiltration of Chinese Ritual Thought in College Ethnic Music Teaching (YS20105).
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Xia, Y., Zhang, Z. (2024). Construction of Music Intelligent Interactive Teaching System Based on J2EE Platform. In: Gui, G., Li, Y., Lin, Y. (eds) e-Learning, e-Education, and Online Training. eLEOT 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 543. Springer, Cham. https://doi.org/10.1007/978-3-031-51465-4_22
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DOI: https://doi.org/10.1007/978-3-031-51465-4_22
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