Year: 2025
Type: article
Abstract: Emerging consensus suggests faculty should teach students to use large language models (LLMs) rather than ban them, but it is not clear that students need detailed AI-related instruction. To investigate, we conducted two studies: Study 1 used survey and focus group methods to assess how such instruction influenced students’ perceptions, while Study 2 used rater evaluation to examine how AI use affected message quality. Study 1 found no meaningful impact on perceptions. Study 2 found that instruction did not affect ratings, but genAI use did—messages composed with LLM assistance received higher evaluations than those without it. We conclude with recommendations for genAI-focused classroom instruction.
Institution: Carnegie Mellon University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: bronze
Funder: Carnegie Mellon University
OpenAlex ID: W4410806378
