Innovation Humanities and Social Sciences Research (IHSSR)

Publisher:ISCCAC

Reconstructing College English Writing Teaching Models with AI: A Distributed Cognition Theory Perspective
Volume 22, Issue 1(Part 2), 2026
Authors

Qi Chen

Corresponding Author

Qi Chen

Publishing Date

March 31, 2026

Keywords

Distributed cognition theory, College English writing teaching, Deepseek.

Abstract

Against the backdrop of the rapid global advancement of AI, its integration into higher education has become an inevitable trend. In college English writing teaching, traditional models, characterized by limited interaction, fixed resources, and delayed feedback, fail to meet the demands of cultivating compound talents in the digital age. This paper explores a teaching model by deeply integrating Deepseek, an AI tool, into college English writing education. Leveraging the distributed cognition theory, which emphasizes interactions among humans, tools, and environments, this study argues that Deepseek supports students at four key stages during the writing process. The integration of Deepseek not only enhances teaching efficiency but also cultivates students’ critical thinking and discourse construction abilities, representing a significant step in the “AI+Education” paradigm shift. However, challenges such as long-text logical fragmentation and the need for teacher role transformation remain. Addressing these issues is crucial for further promoting the digital transformation of college English writing education.

Copyright

© 2026, the Authors. Published by ISCCAC

Open Access

This is an open access article distributed under the CC BY-NC license