Construction of College Martial Arts Online Education Application Platform Based on JSP Technology
- DOI
- 10.2991/978-94-6463-040-4_51How to use a DOI?
- Keywords
- Java; JSP Technology; Martial Arts; Online Education Platform
- Abstract
In the Java language environment, JSP technology combined with SSM framework is used to complete the construction of online education application platform of college martial arts. With the help of the application advantages of network information technology, aiming at the difficulties faced by the current college martial arts education and teaching process, this paper innovatively introduces online teaching into daily teaching, and puts forward practical and comprehensive solutions from the aspects of teaching content, teaching form, assessment and learning atmosphere. The application of the platform can not only meet the requirements of the content and standardization of martial arts education, but also further strengthen the talent cultivation concept of martial arts education in colleges and universities, and further improve the construction of professional teaching system while practically improving the teaching effect, thus making a new attempt to promote the implementation of the information education reform process in colleges and universities.
- Copyright
- © 2023 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 - Xingrong Zhang PY - 2022 DA - 2022/12/27 TI - Construction of College Martial Arts Online Education Application Platform Based on JSP Technology BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 335 EP - 342 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_51 DO - 10.2991/978-94-6463-040-4_51 ID - Zhang2022 ER -