Research Article
Construction and Application of Digital College English Teaching Resources on the Basis of Data Mining
@INPROCEEDINGS{10.1007/978-3-031-63130-6_18, author={Xiaomin Yang}, title={Construction and Application of Digital College English Teaching Resources on the Basis of Data Mining}, 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={Data mining Digitization teaching resource}, doi={10.1007/978-3-031-63130-6_18} }- Xiaomin Yang
Year: 2024
Construction and Application of Digital College English Teaching Resources on the Basis of Data Mining
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-63130-6_18
Abstract
The arrival of the digital era has brought many challenges and changes to traditional teaching models, teaching methods, and teaching resources in higher education. Among them, the construction and application of digital educational resources has also become an important trend in the future development of higher education. This article mainly introduces the construction and application of digital college English teaching resources based on data mining. In terms of the construction of teaching resources, this paper uses the method based on data mining technology to analyze and process a large number of student learning data and teacher teaching data within a certain period of time, mine the patterns and rules of student learning, and establish knowledge expressions, Knowledge graph and curriculum knowledge trees related to the curriculum; In terms of application, online teaching platforms are used to provide students with rich and diverse digital teaching resources, allowing them to achieve targeted learning through various social learning methods such as independent learning, autonomous dialogue, and group discussions. Practice has proven that digital college English teaching resources based on data mining can better serve the teaching practice of higher education. On the one hand, this teaching resource makes students’ learning more targeted and personalized, which is not only conducive to interaction between teachers and students, but also helps to improve students’ English learning efficiency; On the other hand, this teaching resource can provide data support and reference for teachers’ teaching practice, so as to better grasp students’ learning situation and teaching progress, and achieve optimization and improvement of the teaching process. In summary, the digital college English teaching resources proposed in this article based on data mining are a feasible and effective teaching model teaching. Based on this model, we can continuously optimize teaching content, methods, and management, further improve the and quality of English teaching, and lay a solid students’ English and career development.
