Abstract
Music education usually requires experienced professional teachers, but educational resources are limited and cannot meet educational needs. Therefore, this article designs a mobile terminal music education platform based on the Django framework. Using Apache server to interact with users, design the mobile terminal education platform architecture based on Django framework. Based on the platform architecture and the hardware structure of the education platform, select suitable Web servers and hubs. With the support of hardware devices, develop a mobile terminal music education resource library to clarify the functions of the mobile terminal music education platform. Build a music teaching resource sharing service model to meet the interaction needs between resources, and thus complete the design of a mobile terminal music education platform based on the Django framework. The experimental results show that the designed mobile terminal music education platform has a good application effect. The platform can be compared through stress testing in the experiment. Under high concurrent user conditions, the platform's response time still does not exceed 3 s, and the average error rate is only 0. 5%, indicating that the platform in this paper has good stability.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zafman, K.B., Riegel, M.L., Levine, L.D., Hamm, R.F.: An interactive childbirth education platform to improve pregnancy-related anxiety: A randomized trial. Am. J. Obst. Gynecol. 229(1), 67.e1-67.e9 (2023). https://doi.org/10.1016/j.ajog.2023.04.007
Li, J., Wang, R.: Machine learning adoption in educational institutions: role of Internet of Things and digital educational platforms. Sustainability 15(5), 4000 (2023). https://doi.org/10.3390/su15054000
Zhang, C., Li, X.: Construction of digital art education platform under the “Internet+” Environment. Mob. Inf. Syst. 19, 1–13 (2023)
Doyle, A.A., Parameshwar, P.S., Tyson, N.: 60. @Gyn.Guide: A novel social media educational platform providing evidence-based and accessible information about gynecology. J. Ped. Adolesc. Gynecol. 36(2), 198–199 (2023). https://doi.org/10.1016/j.jpag.2023.01.148
Wang, B., Qi, J., An, X., et al.: Research on four-dimensional innovative intelligent education platform based on cloud edge-end architecture. Comput. Intell. Neurosci. 2023, 1–11 (2023). https://doi.org/10.1155/2023/2263033
Kaufmann, M.D., Steeb, T., Wessely, A., et al.: eImmunonkologie: development and launch of a virtual education platform for the immunotherapy of cutaneous neoplasms. Med. Sci. Educ. 33(1) (2023)
Popescu, O., Leonte, N.: Development of Spatio-temporal orientation of children with down syndrome through educational platforms after Romanian pandemic lockdown. Sustainability 15(2), 926 (2023). https://doi.org/10.3390/su15020926
Papadakis, S., Anastasaki, M., Gergianaki, I., et al.: Development and implementation of a continuing medical education program on non-alcoholic fatty liver disease for primary care practitioners in Europe. Front. Med. 10 (2023)
Nieto-Márquez, N.L., Baldominos, A., Soilán, M.I., et al.: Assessment of COVID-19’s impact on EdTech: case study on an educational platform, architecture and teachers’ experience. Educ. Sci. 12(10), 681 (2022). https://doi.org/10.3390/educsci12100681
Shumilovskikh, L.S., Shumilovskikh, E.S., Schluetz, F., et al.: NPP-ID: Non-Pollen Palynomorph Image Database as a research and educational platform. Veg. Hist. Archaeobotany 31(3), 323–328 (2022)
Liu, S., Gao, P., Li, Y., Weina, F., et al.: Multi-modal fusion network with complementarity and importance for emotion recognition. Inf. Sci. 619, 679–694 (2023)
Zhang, Chao, Li, Huizi: Adoption of artificial intelligence along with gesture interactive robot in musical perception education based on deep learning method. Int. J. Hum. Robot. 19(03) (2022). https://doi.org/10.1142/S0219843622400084
Zhang, Y.: Modern art design system based on the deep learning algorithm. J. Interconnect. Networks 22(Supp05) (2022). https://doi.org/10.1142/S0219265921470149
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Long, C., Liu, C. (2024). Design of Mobile Terminal Music Education Platform Based on Django Framework. In: Yun, L., Han, J., Han, Y. (eds) Advanced Hybrid Information Processing. ADHIP 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-031-50549-2_19
Download citation
DOI: https://doi.org/10.1007/978-3-031-50549-2_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-50548-5
Online ISBN: 978-3-031-50549-2
eBook Packages: Computer ScienceComputer Science (R0)