Research Article
Design and Development of Teaching Platform Based on Genetic Algorithm
@INPROCEEDINGS{10.1007/978-3-031-63130-6_56, author={Xiaoying Zhang}, title={Design and Development of Teaching Platform Based on Genetic Algorithm}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Third EAI International Conference, BigIoT-EDU 2023, August 29-31, 2023, Liuzhou, China, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2024}, month={7}, keywords={English communication Virtual simulation Instructional resources Collaborative filtering}, doi={10.1007/978-3-031-63130-6_56} }- Xiaoying Zhang
Year: 2024
Design and Development of Teaching Platform Based on Genetic Algorithm
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-63130-6_56
Abstract
Practical training refers to training students’ practical working ability and creative ability in real or simulated field operation environment according to the teaching requirements, so as to lay a solid foundation for their future career. In the information-based teaching, students can acquire knowledge not only through teachers’ lectures in class, but also through the Internet. In this article, big data analysis is applied to instructional resources, and the strategy of constructing English communication virtual simulation training instructional resources based on collaborative filtering (CF) algorithm is put forward. The final filtering algorithm can analyze the teaching resources and teaching contents in the simulation training with comprehensive indicators, in which the algorithm can comprehensively judge the accidental relationship between data, the content between data and the simulation results between data, so the comprehensive method can complete the training of party members.
