Parallel Surveys of GenAI and Writing: Students’ Perspectives and Instructors’ Perception of Student Perspectives in Writing-Intensive Courses

Hooman Saeli University of Tennessee at Knoxville ; Jeff Ringer University of Tennessee at Knoxville ; Chris Mayer University of Tennessee at Knoxville ; Matt Bryant Cheney University of Tennessee at Knoxville ; Grace Duncan University of Tennessee at Knoxville

Abstract

Our questionnaire-based study explored the perceptions and reported practices of students about using GenAI in writing-intensive (WI) courses and instructors’ perceptions of those student-held perceptions and reported practices. The data were collected from a large state university in the Southeastern United States. We administered two parallel versions of a questionnaire to 6,000 student emails and 390 instructor emails across two semesters. Using SPSS 29, we analyzed the data to calculate descriptive statistics, multivariate analyses of variance, post hoc analyses, and factor analyses. Our analysis revealed numerous significant differences between the students and instructors in how students use GenAI as a writing assistance tool and as a source of feedback, among others. Our results provide important insights into the divergent perspectives students and instructors hold about the role of GenAI in writing-intensive classes and recommend increased communication between instructors and students to achieve common understanding about GenAI’s applicability to writing processes.

Journal
Written Communication
Published
2026-01-01
DOI
10.1177/07410883251372207
Open Access
Closed
Topics

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  1. Journal of Business and Technical Communication
  2. Journal of Business and Technical Communication
  3. Computers and Composition
  4. College English
  5. College Composition and Communication
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  1. Research in the Teaching of English
  2. College Composition and Communication
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