Research Article
Construction of Interactive Online Teaching System for English Speech Based on Web
@INPROCEEDINGS{10.4108/eai.23-12-2022.2329152, author={Yaru Cheng and Guofeng Cui}, title={Construction of Interactive Online Teaching System for English Speech Based on Web}, proceedings={Proceedings of the 2nd International Conference on Internet Technology and Educational Informatization, ITEI 2022, December 23-25, 2022, Harbin, China}, publisher={EAI}, proceedings_a={ITEI}, year={2023}, month={6}, keywords={interactive learning; english speech; online teaching system; ffmpeg; ahp algorithm}, doi={10.4108/eai.23-12-2022.2329152} }- Yaru Cheng
Guofeng Cui
Year: 2023
Construction of Interactive Online Teaching System for English Speech Based on Web
ITEI
EAI
DOI: 10.4108/eai.23-12-2022.2329152
Abstract
Based on the increasingly close international exchange environment, English as an important language tool, has been promoting international friendly communication in every way. Therefore, the society has put forward stricter requirements for English professionals. However, at present, the traditional English teaching mode in colleges and universities can no longer meet the needs of the society and students. In order to ensure the high-quality development of talents, this paper uses FFmpeg as a decoding tool, combines streaming media technology with computer technology, and constructs a Web-based interactive online teaching system for English speeches. With Linux as the operating system, B/S architecture as the development framework, and Java Web application development framework to develop the system server, the functions of the system are detailed and perfect. The system will deploy the overall development in layers in MVC mode, so as to maintain the operating efficiency of the system and promote the further study and growth of high-quality English professionals. In the comprehensive evaluation part of the system, the analytic hierarchy process (AHP), which combines qualitative and quantitative analysis, is used to calculate, and the functional linear regression model is used as the statistical basis of the data, thus further optimizing the evaluation system of efficient English speech.
