Research Article
Design of Personalized Recommended English Assisted Teaching System in Big Data Environment
@INPROCEEDINGS{10.1007/978-3-030-87900-6_54, author={Xuxuan Huang}, title={Design of Personalized Recommended English Assisted Teaching System in Big Data Environment}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1--3, 2021, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2021}, month={10}, keywords={Collaborative filtering algorithm English assisted instruction MVC architecture B/S mode Physical structure}, doi={10.1007/978-3-030-87900-6_54} }- Xuxuan Huang
Year: 2021
Design of Personalized Recommended English Assisted Teaching System in Big Data Environment
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-030-87900-6_54
Abstract
According to the information needs of English learning and the problems existing in current English teaching, this paper proposes an English teaching system based on personalized recommendation. In order to realize the system, the business process of the system is analyzed to provide a reference for the follow-up function design; then, combined with the above requirements, the function, physical architecture, technical architecture of the system are designed, and the login module and personalized recommendation module of the system are designed, and the interface implementation code is given. The above-mentioned auxiliary learning interface not only provides a better idea for the promotion and improvement of current English information teaching, but also provides a reference for the application of Intelligent Recommendation Algorithm in English teaching.