Human-AI Collaborative Writing: Pedagogies for Using LLMs to Improve the Ideation and Revision Process in Academic Writing

Abstract

This paper explores effective human-AI collaboration in academic writing using Large Language Models (LLMs). Focusing on the two critical stages of ideation and revision, the article argues that higher education institutions must develop specific pedagogical strategies to guide students in leveraging the benefits of LLMs while mitigating risks such as academic integrity issues, over-reliance, and bias. The core of these strategies is to emphasize the primacy of human agency, critical thinking, and ethical responsibility. The ultimate goal is to transform AI from a potential pitfall into a powerful tool that enhances scholarly skills and depth of thought, rather than being used as a simple text generator.