Research Article
Design and Implementation of Mobile Intelligent Education System Based on Cloud Architecture
@INPROCEEDINGS{10.1007/978-3-031-21161-4_14, author={Dan Yu}, title={Design and Implementation of Mobile Intelligent Education System Based on Cloud Architecture}, proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I}, proceedings_a={ELEOT}, year={2023}, month={3}, keywords={Cloud architecture Mobile Internet technology Network media Online education Mobile communication Learning resources}, doi={10.1007/978-3-031-21161-4_14} }- Dan Yu
Year: 2023
Design and Implementation of Mobile Intelligent Education System Based on Cloud Architecture
ELEOT
Springer
DOI: 10.1007/978-3-031-21161-4_14
Abstract
Because there are many intelligent education features, and the current mobile intelligent education system uses relatively backward education feature extraction technology, the extracted education features are fuzzy, resulting in excessive CPU utilization during the operation of the system. In order to solve this problem, a mobile intelligent education system based on cloud architecture is designed. Hardware part: adopt the active serial FPGA configuration method, load the program that controls the FPGA chip; Software part: use mobile internet technology to identify the type of mobile learning, optimize the traditional format, obtain intelligent education features under the support of cloud architecture, and calculate service resources. The distance to the user’s location is used to build a course resource management model and improve the intelligence of the education system. The experimental results show that the average CPU occupancy rates of the designed system and the other two systems are 20.169%, 30.087%, and 29.987%, respectively, indicating that the performance of the mobile intelligent education system integrated with the cloud architecture is better.
