Abstract
In order to solve the problem of unbalanced course resource scheduling of mobile education platform when the number of users increases, a mobile education platform based on cloud computing is constructed. In the hardware part, the FPGA chip of XC6SLX16 is selected as the platform, and the decoupling network is designed according to different power input to eliminate the noise on power pin. In the software part, according to the requirements of the economic management course, we integrate the scattered teaching to form the rich teaching resource base and realize the unified management of users, roles and organizations. In order to improve the concurrency performance of the platform, the entrepreneurial course resource database of economic management major is scheduled based on cloud computing. Design each function module of the mobile education platform, input the keywords can get the related more detailed development resources, realize the mutual communication discussion. The test results show that the platform has good performance, and can improve the network throughput and meet the design requirements.
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References
Zhao, D., Xi, Di., Li, Y.Y.: Application application of mobile teaching platform in college biology courses——practical exploration based on speed-learning platform. J. Hubei Open Vocational College 33(20), 163–165 (2020)
Liu, T.W., Sun, H., Fung, W.: An artifact-based simulation method for teaching intellectual property management in an innovation and entrepreneurship course. Asian Case Res. J. 25(02n03), 193–212 (2021)
Xiao, X., Liu, X., Xiao, Z.: Construction and application of computer virtual simulation teaching platform for medical testing. J. Phys. Conf. Ser. 1915(4), 042074 (7 pp) (2021)
Wu, Y.-l., Huang, W.: Real-time task scheduling simulation of cloud computing based on resource delay perception. Comput. Simulation 38(9), 490–494 (2021)
Maghsoudloo, M., Khoshavi, N.: Elastic HDFS: Interconnected distributed architecture for availability–scalability enhancement of large-scale cloud storages. J. Supercomput. 76(1), 174–203 (2020)
Mostafaeipour, A., Rafsanjani, A.J., Ahmadi, M., et al.: Investigating the performance of Hadoop and Spark platforms on machine learning algorithms. J. Supercomput. 77(2), 1273–1300 (2020)
Wu N.Z., Xing, X.S.: The occurrence logic of big data supporting large-scale personalized teaching. Lifelong Educ. Res. 32(2), 20–28, 39 (2021)
Funding
Sichuan Provincial Key Research Base of Humanities and Social Sciences in Higher Education Institutions - Research Project of Newly-built Institutions Reform and Development Research Center: Discussion on Green Innovation and Entrepreneurship Education System of Newly-built Application-oriented Undergraduate Universities under the Background of “Innovation and Entrepreneurship” (Project No.: XJYX2021B07).
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yuan, H., Zou, X. (2023). Construction of Mobile Education Platform for Entrepreneurial Courses of Economic Management Specialty Based on Cloud Computing. 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_45
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DOI: https://doi.org/10.1007/978-3-031-28787-9_45
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