Examining AI-assisted writing revision through assignment design and implementation in an undergraduate course

A study conducted within an undergraduate general education course investigated the pedagogical integration of AI-assisted writing revision tools. The research aimed to understand how AI can improve students' writing and revision skills when strategically implemented, while also gathering student perceptions on its impact. The methodology involved students initially drafting assignments without AI, followed by AI-assisted revision using tools of their choice to enhance grammar and other aspects, suggesting a structured approach to leveraging generative AI in education.

Why it matters

This study highlights a structured approach to integrating emerging technologies like AI into educational or training curricula, moving beyond concerns of misuse to explore potential benefits. It offers insights into designing assignments that leverage AI for skill development while preserving critical foundational competencies, which can inform broader strategies for technology adoption in learning environments.

Key insights

• Generative AI, while posing misuse challenges, offers opportunities to enhance student writing and revision skills.
• The study integrated AI-assisted revisions into two consecutive writing assignments within a large undergraduate general education course.
• Students were required to produce initial drafts without AI to foster critical thinking and foundational writing skills.
• Subsequent revision stages allowed students to utilize AI tools of their choice for improvements, specifically mentioning grammar correction.

Source

Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1879758