Abstract
Because the traditional college English multimedia course network independent learning platform has the problems of slow response time and low student satisfaction, a cloud service based College English multimedia course network independent learning platform is designed. Hardware part: simulate the maximum frequency of input signal and design a complete power on reset (POR) and power off reset (PDR) circuit; Software part: increase the investment in multimedia network teaching, improve the management structure of College English multimedia courses, take the Internet as the main carrier, build a network independent learning model, and optimize the software functions of the platform by using cloud services. Experimental results: the average response time of the College English multimedia course network autonomous learning platform in this paper and the other two autonomous learning platforms are 8.464 s, 13.276 s and 13.697 s respectively, which shows that the application effect of the College English multimedia course network autonomous learning platform is better and the satisfaction of students is improved after making full use of the cloud service technology.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Hu, L.: Application of mixed teaching mode of mobile internet platforms in english courses. J. HeiLongJiang Inst. Teach. Dev. 39(8), 139–141 (2020)
Yang, Y.: Practical research on the ‘‘Autonomous and Cooperative” learning mode of college english online courses. Guide Sci. Educ. (21), 49–50 (2020)
Ji, S.: On the teaching of college english linguistics with the help of multimedia. Guide Sci. Educ. (29), 129–130 (2020)
Meng, X.: A probe into the application of multimedia teaching in college english teaching. J. Jiangxi Vocat. Tech. Coll. Electr. 33(10), 83–84 (2020)
Gao, Z., An, L.: Practice teaching research of mathematical english curriculum in normal colleges and universities. Theory Pract. Innov. Entrepreneurship 3(21), 3–5 (2020)
Jiang, Z., Yi, D., Zhu, G.: Optimal selection of manufacturing cloud services considering elimination of fake cloud service. Comput. Integr. Manuf. Syst. 26(8), 2020–2029 (2020)
Shi, X., Wang, X.: Cloud platform network digital information adaptive recognition simulation. Comput. Simul. 36(12), 387–390, 463 (2019)
Choi, H., Kim, M., Lee, G., et al.: Unsupervised learning approach for network intrusion detection system using autoencoders. J. Supercomput. 75(9), 5597–5621 (2019)
Venkatesh, M., Sathyalaksmi, S.: Memetic swarm clustering with deep belief network model for e-learning recommendation system to improve learning performance. Concurr. Comput.: Pract. Exp. (18), e7010.1–e7010.21 (2022)
Adegoke, M., Wong, H.T., Leung, C.S.: A fault aware broad learning system for concurrent network failure situations. IEEE Access 9, 46129–46142 (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Yang, G. (2023). Cloud Service-Based Online Self-learning Platform for College English Multimedia Courses. In: Fu, W., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 468. Springer, Cham. https://doi.org/10.1007/978-3-031-28787-9_37
Download citation
DOI: https://doi.org/10.1007/978-3-031-28787-9_37
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-28786-2
Online ISBN: 978-3-031-28787-9
eBook Packages: Computer ScienceComputer Science (R0)