A Study on the Blended Teaching Model of College English Based on Digital Platforms
Abstract
vancement of new-generation information technologies such as big data and artificial intelligence, educational digital intelligence has become
an inevitable trend for the high-quality development of higher education. In this study, the instructors leverage the knowledge graph function
of the Chaoxing Learning Platform to conduct an in-depth exploration of blended teaching practices integrating online and offline compo
nents. A knowledge graph for the College English course is constructed from three modules: basic vocabulary, grammatical knowledge, and
ideological-political education. This graph is then applied throughout the entire teaching processbefore, during, and after class. Knowledge
graphs can present fragmented and complex knowledge systems in an intuitive and visualized format, effectively helping students build a sys
tematic and complete course knowledge framework, thereby enhancing learning outcomes and teaching quality.
Keywords
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[1] Li Wenzhao, Zhang Jing. Research and Practice of Blended Teaching Mode for College English in Higher Vocational CollegesTak
ing Chaoxing Learning Platform as an Example [J]. Journal of Changchun Education Institute, 2025, 41(03): 83-88.
[2] Li Guiping. Research on the Blended Teaching Mode of College English Based on Chaoxing Learning Platform [J]. Journal of Jilin Ra
dio and TV University, 2024, (01): 32-34.
[3] Zhang Aiwen. Exploration of College English Blended Teaching in the Internet+ Era [J]. Journal of Shaanxi Open University, 2024,
26(01): 91-96.
[4] Zhang Yanmin. The Turn and Strategy of Integrating Ideological and Political Education into College English under the Blended Teach
ing Model [J]. Journal of Changsha Aeronautical Vocational Technical College, 2025, 25(02): 70-74+96 .
[5] Yang Yun, Wang Jianfang. Research on the Design of Integrating Ideological and Political Education into College English under the
Blended Teaching Model [J].Western Academic Journal, 2024, (04): 89-94.
DOI: http://dx.doi.org/10.70711/neet.v4i4.9094
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