Research Article
Multi Agent Based High School Physics Network Course Automatic Generation System
@INPROCEEDINGS{10.1007/978-3-031-51465-4_13, author={Haiquan Chi and Zhonghua Zhao and Xiaojun Jiang}, title={Multi Agent Based High School Physics Network Course Automatic Generation System}, 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={High school physics Automatic generation Online courses Reinforcement learning Multi-agent}, doi={10.1007/978-3-031-51465-4_13} }- Haiquan Chi
Zhonghua Zhao
Xiaojun Jiang
Year: 2024
Multi Agent Based High School Physics Network Course Automatic Generation System
ELEOT
Springer
DOI: 10.1007/978-3-031-51465-4_13
Abstract
The construction of online courses is the key to the modernization of education. Due to the backwardness of the application means of the existing network course automatic generation system, the network course automatic generation takes a long time and the function of the network course is less perfect. In order to solve the problems such as long time and imperfect function of high school physical network course automatic generation, this paper puts forward the design and research of high school physical network course automatic generation system based on multi-agent. Take high school physics as the research subject, determine the principles that need to be followed in the automatic generation of online courses, build the automatic generation framework of online courses, design the database of online courses, construct and configure multi-agent according to the automatic generation requirements of online courses. The multi-agent value decomposition stage and the multi-agent communication mechanism design stage enable the multi-agent to have the corresponding function of automatically generating network courses, which can automatically generate the required high school physics network courses. The experimental data shows that after the application of the design system, the minimum time spent for automatic generation of online courses is 16 s, and the maximum value of functional perfection of online courses is 99%, which fully proves that the application performance of the design system is better.
