A Report on the Iterative Model and Efficacy Practice of English Speech Draft Writing from the Perspective of Human-AI Collaboration

Wenxi Zhao

doi:10.47297/wspiedWSP2516-250039.20261001

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A Report on the Iterative Model and Efficacy Practice of English Speech Draft Writing from the Perspective of Human-AI Collaboration

Volume 10, Issue 1

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A Report on the Iterative Model and Efficacy Practice of English Speech Draft Writing from the Perspective of Human-AI Collaboration
A Report on the Iterative Model and Efficacy Practice of English Speech Draft Writing from the Perspective of Human-AI Collaboration
College of Applied Foreign Languages, Guangzhou Huali College, Guangzhou, Guangdong, 510000, China
Vol. 10, Issue 1, Pages: 182-186(2026)
Published：30 January 2026
DOI：10.47297/wspiedWSP2516-250039.20261001
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.As large AI models continue to develop, voices claiming that humans will be replaced by AI are growing louder. This practice shows that the ideal future model for writing is not a competition between humans and AI but a synergistic, symbiotic relationship akin to "Director - Screenwriter - Senior Advisor." Humans are the "Director" and "Final Author," responsible for setting the ultimate creative vision, core ideas, and emotional tone, and for making all key aesthetic and value judgments. AI, on the other hand, acts as the "Versatile Screenwriter" and "Senior Advisor," responsible for efficient execution, providing abundant material, diverse drafts, and professional technical suggestions, always operating within the overarching”构思” of the human. The essence of this collaboration is a cyclical process of "Inspiration - Judgment - Reshaping": AI inspires humans, humans judge the direction and demand more from AI, and AI executes and optimizes again. This cycle continues until the human's creative”构想” is realized to its fullest potential. The resulting work's copyright belongs to humans, for human wisdom and emotion are its indispensable, decisive components.[J].国际教育与发展（英文版）,2026,10(01):182-186.

Zhao Wenxi.A Report on the Iterative Model and Efficacy Practice of English Speech Draft Writing from the Perspective of Human-AI Collaboration[J].Journal of International Education and Development,2026,10(01):182-186.
.As large AI models continue to develop, voices claiming that humans will be replaced by AI are growing louder. This practice shows that the ideal future model for writing is not a competition between humans and AI but a synergistic, symbiotic relationship akin to "Director - Screenwriter - Senior Advisor." Humans are the "Director" and "Final Author," responsible for setting the ultimate creative vision, core ideas, and emotional tone, and for making all key aesthetic and value judgments. AI, on the other hand, acts as the "Versatile Screenwriter" and "Senior Advisor," responsible for efficient execution, providing abundant material, diverse drafts, and professional technical suggestions, always operating within the overarching”构思” of the human. The essence of this collaboration is a cyclical process of "Inspiration - Judgment - Reshaping": AI inspires humans, humans judge the direction and demand more from AI, and AI executes and optimizes again. This cycle continues until the human's creative”构想” is realized to its fullest potential. The resulting work's copyright belongs to humans, for human wisdom and emotion are its indispensable, decisive components.[J].国际教育与发展（英文版）,2026,10(01):182-186. DOI： 10.47297/wspiedWSP2516-250039.20261001.

Zhao Wenxi.A Report on the Iterative Model and Efficacy Practice of English Speech Draft Writing from the Perspective of Human-AI Collaboration[J].Journal of International Education and Development,2026,10(01):182-186. DOI： 10.47297/wspiedWSP2516-250039.20261001.

摘要

Abstract

This practice report takes the writing practice of an undergraduate student participating in an English speech contest as a case study. It examines the functional positioning of AI tools in speech draft writing and the dominant role of human writers in controlling aspects such as article style and linguistic expression. Based on a clearly defined theme and target audience

this practice employed DeepSeek and Grammarly for initial draft generation and language proofreading

followed by multiple rounds of manual review and revision to produce the final draft. The results indicate that in three key areas—structural cohesion

argumentative depth

and linguistic expression—human-led review and revision can significantly compensate for issues in AI-generated text

such as logical leaps

thin arguments

and repetitive rhetoric. Furthermore

the student demonstrated crucial value judgment and decision-making abilities in prompt design

text discrimination

and integration. This suggests that AI is better suited as a "collaborator" rather than a "replacement." Teaching and training should focus on a closed-loop process of "task definition—high-quality prompting—critical screening—integration and refinement" to cultivate students' questioning

decision-making

and leadership abilities

alongside aesthetic judgment.

关键词

Keywords

references

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Liu Yangyang . Common Problems and Countermeasures in Review-Type Articles of Scientific Journals under Generative Artificial Intelligence [J ] . Communication and Copyright , 2025 , ( 09 ): 10 - 13 .