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Research on Deep Learning Strategies of College Students in English Lexicology in the Blended Learning Context: A Case Study of English Lexicology

Author(s)

Qianqian Wang

Affiliation(s)

China Jiliang University, College of Modern Science and Technology, Hangzhou, Zhejiang, China

Abstract

Against the backdrop of educational digital transformation, blended learning has become a major direction of curriculum reform in higher education. Addressing the problems that the course English Lexicology is highly theoretical and that research integrating this field with deep learning remains scarce, this study takes English Lexicology as the entry point and explores deep learning strategies for college students' English vocabulary learning under blended learning. Grounded in relevant theories, the study constructs a strategy system combining online autonomous learning with offline interactive learning, and conducts a teaching practice in two parallel classes of English majors at the author's institution. The practice confirms that the proposed strategy helps students make progress, enriches teaching theory, and provides practical reference for similar courses. However, the study has limitations such as limited sample representativeness; future research may extend cross-institutional practice and explore pathways for artificial intelligence to empower strategy optimization.

Keywords

Blended Learning; Deep Learning Strategies; English Lexicology; College Students

References

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