How Problematic Writer-AI Interactions (Rather than Problematic AI) Hinder Writers' Idea Generation
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Abstract (arXiv)
Writing about a subject enriches writers' understanding of that subject. This cognitive benefit of writing -- known as constructive learning -- is essential to how students learn in various disciplines. However, does this benefit persist when students write with generative AI writing assistants? Prior research suggests the answer varies based on the type of AI, e.g., auto-complete systems tend to hinder ideation, while assistants that pose Socratic questions facilitate it. This paper adds an additional perspective. Through a case study, we demonstrate that the impact of genAI on students' idea development depends not only on the AI but also on the students and, crucially, their interactions in between. Students who proactively explored ideas gained new ideas from writing, regardless of whether they used auto-complete or Socratic AI assistants. Those who engaged in prolonged, mindless copyediting developed few ideas even with a Socratic AI. These findings suggest opportunities in designing AI writing assistants, not merely by creating more thought-provoking AI, but also by fostering more thought-provoking writer-AI interactions.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 7 of its 36 references that are in the map. First posted on arXiv 14 Mar 2025.
Builds on
7 of 36 references.
References · 7
- 2022CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilitiescited by 249
- 2017Learning to Ask: Neural Question Generation for Reading Comprehensioncited by 186
- 2023Art or Artifice? Large Language Models and the False Promise of Creativitycited by 172
- 2024Homogenization Effects of Large Language Models on Human Creative Ideationcited by 127
- 2024The Value, Benefits, and Concerns of Generative AI-Powered Assistance in Writingcited by 37
- 2024Enhancing Critical Thinking in Education by means of a Socratic Chatbotcited by 21
- 2025ScholaWrite: A Dataset of End-to-End Scholarly Writing Processcited by 9
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Citing papers per year: 2026: 2.
2 papers.