Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

Research on intelligent learning platform system based on Spring Boot

Authors
Li Gan1, Yong Huang1, Yunli Cheng2, *
1Guangzhou International Economics College, 510540, Guangdong, China
2Graduate University of Mongolia, Ulaanbaatar, Mongolia
*Corresponding author. Email: 767220031@qq.com
Corresponding Author
Yunli Cheng
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_19How to use a DOI?
Keywords
Spring Boot; Intelligent learning platform; Separated architecture; Redis cache optimization
Abstract

With the popularity of the Internet, people’s way to explore knowledge began to go to the Internet, digital intelligent learning platform emerged at the historic moment. As for the traditional teaching method, it is taught at a fixed time and place, and the form of education and learning is not free enough. Compared with traditional teaching methods, students can freely access more diverse teaching resources through intelligent learning platform, and they can repeatedly learn the required course knowledge according to actual needs. At the same time, they can also ask questions and communicate on intelligent learning platform. This paper mainly studies the design and implementation of intelligent learning platform based on Spring Boot. The main function of this platform is to seek a convenient means of intelligent teaching and management for teachers and students, so that students can easily study independently and watch the teaching videos uploaded by teachers. Obviously, intelligent learning platform can improve students’ enthusiasm for self-study. Technically, the platform uses the front-end and back-end separation architecture to deploy, develop and debug the front-end and back-end projects separately. The front end selects the progressive framework vue. js to complete the complex interaction logic and two-way binding of the front end, and selects ElementUI to design simple pages. Back end selection of Spring Boot, as the overall framework of intelligent learning platform backend, with Java to achieve interface function design, Redis in the Laragon environment to achieve cache optimization, MyBatis to achieve persistent layer development, and MySQL to achieve data storage. This platform provides an intelligent learning and management solution for teachers and students, and is committed to improving the efficiency of learning. After testing, the intelligent learning platform achieved in this paper meets the expected results and achieves good performance.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
Series
Advances in Computer Science Research
Publication Date
30 December 2022
ISBN
978-94-6463-108-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_19How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Li Gan
AU  - Yong Huang
AU  - Yunli Cheng
PY  - 2022
DA  - 2022/12/30
TI  - Research on intelligent learning platform system based on Spring Boot
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 168
EP  - 179
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_19
DO  - 10.2991/978-94-6463-108-1_19
ID  - Gan2022
ER  -