Research Article
College English Teaching Ecosystem Based on ML Algorithm
@INPROCEEDINGS{10.1007/978-3-031-63130-6_52, author={Yingbin Nie and Zhou Yufei and Xin Peng}, title={College English Teaching Ecosystem Based on ML 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={ML algorithm CET ecosystem modern education}, doi={10.1007/978-3-031-63130-6_52} }- Yingbin Nie
Zhou Yufei
Xin Peng
Year: 2024
College English Teaching Ecosystem Based on ML Algorithm
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-63130-6_52
Abstract
Mega data application has become the main factor affecting CET, which breaks the balance of the traditional CET ecosystem. Using mega data technology to build an CET ecological environment is the main means to improve the quality of CET. ML is an important way to acquire knowledge and the key to realize artificial intelligence. In modern instructional technology, the rational use of ML can develop an intelligent teaching system. To study the ecological environment of College English is to study the relationship between individual behavior and English learning environment and the relationship between various factors in learning environment. We should make full use of the flexibility, fragmentation and autonomy of mobile learning mode to carry out appropriate flipped classroom teaching. Teachers should adopt various evaluation methods to improve their own quality, such as correcting the network, official account of WeChat, etc., to cultivate students’ awareness of mobile learning strategy, information literacy of learning resources, language practice ability and autonomous learning ability, so as to achieve the goal of CET and promote the sustainable and harmonious development of CET ecosystem.
