NIRVANA supplies keystroke-level logs, complete ChatGPT dialogues, and copied content from 77 students to reconstruct AI-assisted essay writing and classify students into four behavioral profiles: Lead Authors, Collaborators, Drafters, and Vibe Writers.
An empirical study to understand how students use ChatGPT for writing essays and how it affects their ownership
4 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
roles
background 3representative citing papers
Structural mental models of AI writing assistants improve system understanding and usability but result in more grammatical errors in user writing compared to functional models.
Pilot experiment shows limited LLM access maintains higher student ownership and strategic use than unlimited access, with no difference in essay quality.
citing papers explorer
-
NIRVANA: A Comprehensive Dataset for Reproducing How Students Use Generative AI for Essay Writing
NIRVANA supplies keystroke-level logs, complete ChatGPT dialogues, and copied content from 77 students to reconstruct AI-assisted essay writing and classify students into four behavioral profiles: Lead Authors, Collaborators, Drafters, and Vibe Writers.
-
From Use to Oversight: How Mental Models Influence User Behavior and Output in AI Writing Assistants
Structural mental models of AI writing assistants improve system understanding and usability but result in more grammatical errors in user writing compared to functional models.
-
Effects of Varying LLM Access on Essay Writing Behavior
Pilot experiment shows limited LLM access maintains higher student ownership and strategic use than unlimited access, with no difference in essay quality.
- LLM Harms: A Taxonomy and Discussion