Research Article
Intelligent Interactive Mobile Teaching Platform in Colleges and Universities Based on Artificial Intelligence Network
@INPROCEEDINGS{10.1007/978-3-031-21161-4_12, author={Chaojun Zhu}, title={Intelligent Interactive Mobile Teaching Platform in Colleges and Universities Based on Artificial Intelligence Network}, 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={Artificial intelligence network Platform frame Hardware Function module Mobile teaching platform}, doi={10.1007/978-3-031-21161-4_12} }- Chaojun Zhu
Year: 2023
Intelligent Interactive Mobile Teaching Platform in Colleges and Universities Based on Artificial Intelligence Network
ELEOT
Springer
DOI: 10.1007/978-3-031-21161-4_12
Abstract
Under the condition of today’s network technology, the realization of online teaching has become a reality and accepted by most colleges and universities. It has become a popular technology for online teaching platform to complete online teaching tasks. However, the traditional online teaching platform does not give enough consideration to the interaction between teachers and students. Under this background, an intelligent interactive mobile teaching platform in colleges and universities based on artificial intelligence network is designed. This paper analyzes the design objectives and key technologies of the platform, and designs a platform framework based on B/S three-tier architecture. With the enhanced 16-bit MCU (MC9S12DG128) as the core, four hardware modules are designed. The platform database is designed with reference to SQL Server 2000 database technology, and five functional modules are designed. The test results show that the average delay of the platform is 1866 ms when there are 1000 concurrent users, and it has good application performance.
