Research Article
Distance Education Platform for Mental Health Courses in Secondary Vocational Schools Based on Cloud Computing
@INPROCEEDINGS{10.1007/978-3-031-51465-4_7, author={Ning Ding and Yiwen Chen and Shanyu Gu}, title={Distance Education Platform for Mental Health Courses in Secondary Vocational Schools Based on Cloud Computing}, proceedings={e-Learning, e-Education, and Online Training. 9th EAI International Conference, eLEOT 2023, Yantai, China, August 17-18, 2023, Proceedings, Part I}, proceedings_a={ELEOT}, year={2024}, month={1}, keywords={Cloud Computing Mental Health Curriculum Distance Education Platform Hierarchy Function Module Openstack Environment Data Center}, doi={10.1007/978-3-031-51465-4_7} }- Ning Ding
Yiwen Chen
Shanyu Gu
Year: 2024
Distance Education Platform for Mental Health Courses in Secondary Vocational Schools Based on Cloud Computing
ELEOT
Springer
DOI: 10.1007/978-3-031-51465-4_7
Abstract
In order to solve the problem of the limited response ability of the remote client terminal of the distance education platform, this study proposed a cloud computation-based distance education platform for secondary vocational mental health courses. This method first establishes the hierarchical structure system of the education platform, optimizes the connection of typical functional modules and completes the design of the platform application architecture based on the established platform structure system, then completes the construction of OpenStack cloud environment based on the cloud computing service model, and finally configains the data center system based on the relevant mental health course information. Realize the application of various platform technologies. The experimental results show that the application of this platform can make the remote client terminal instantaneous response rate reach the maximum value within 20 min, which is 8.6Mb/s. The response speed and the client terminal instantaneous response rate are superior to the comparison method, which has certain application value.
