Abstract
The lightweight application development technology based on WeChat Mini Program is particularly popular at present. The framework of WeChat Mini Program is simple and easy to develop. Mini Programs can be used without deployment on the client and can easily call the camera, microphone and GPS, etc. Naturally, the development of college courses teaching resource sharing platform based on Mini Programs can facilitate teachers and students to share curriculum resources and enjoy online learning and communication.
The project follows the design principles of simple operation, clear interface layout, personalized learning mode, diversified communication means, scientific management methods, etc., adopting WeChat Mini Program, data acquisition and data analysis technologies to build a college courses teaching resource sharing platform, a teaching service system featuring university teaching resource sharing and students’ individualized learning.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Li, Z.: The construction of network teaching system in colleges and universities. Comput. Knowl. Technol. 11(15), 108–110 (2015)
Li, Q.: Analysis of college students’ self-directed learning in the era of the internet. Educ. Chin. After Sch. (Theory) (03): 90–91 (2019)
Wang, F.: Research on the diversified teaching models of college English courses. Mod. Commun. (15), 133 (2017)
Zhang, D., Huang, S., Zhu, W., Zhu, W.: Design of second class credit system based on small program. Comput. Knowl. Technol. 14(36), 54–57, 71 (2018)
Jinyang, S.: Analysis of mini program technology and security issues. China New Commun. 20(23), 137–138 (2018)
Sun, G., Song, Z., Liu, J., et al.: Feature selection method based on maximum information coefficient and approximate Markov blanket. Zidonghua Xuebao/Acta Automatica Sinica 43(5), 795–805 (2009)
Sun, G., Li, X., Hou, X., et al.: GPU-accelerated support vector machines for traffic classification. Int. J. Perform. Eng. 14(5), 1088–1098 (2018)
Pani, S.K., Mohapatra, D., Ratha, B.K.: Integration of web mining and web crawler: relevance and state of art. Int. J. Comput. Sci. Eng. 2(3), 772–776 (2010)
Duan, Y., Edwards, J.S., Dwivedi, Y.K.: Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. Int. J. Inf. Manag. 48, 63–71 (2019)
Zhang, X., Pei, F.: Campus resource sharing based on WeChat platform in the background of informationization-development and use of mini programs. Comput. Prod. Circ. (01), 128 (2019)
Lu, P.: Design of shared space platform based on vue.js. Digit. Commun. World (03), 199, 280 (2018)
Fan, K., Chen, Y.: Research on MySQL database performance optimization. China New Telecommun. 21(01), 57 (2019)
Acknowledgment
This research was supported by Hainan Higher Education Educational Reform Research Project (Hnjg2018-105).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Chang, N., Liang, Q., Wan, F. (2019). Research and Design of College Courses Resources Sharing Platform Based on WeChat Mini Program. In: Sun, G., Gan, J., Liu, S., Lang, F., Lu, Z. (eds) e-Learning, e-Education, and Online Training. eLEOT 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-030-35095-6_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-35095-6_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-35094-9
Online ISBN: 978-3-030-35095-6
eBook Packages: Computer ScienceComputer Science (R0)