New study reveals major gaps in how students and lecturers view AI use
A new study from the University of Manchester and Spain's Universidad del Pais Vasco found significant differences between student and academic perceptions of generative AI usage.
Academics overestimate student AI adoption
Research conducted between April and June 2024 surveyed 45 staff members and 86 students. Academic respondents rated their perception of AI use at an average of 5.23 out of 7. Students recorded a significantly lower average score of 3.11 on the same scale. This gap suggests lecturers believe students use generative tools more than the students admit.
Common uses and detection limits
Participants reported using AI for producing text, checking grammar, and finding research answers efficiently. Staff noted that mixed experience with technology makes it difficult to judge actual student usage. Only 14 percent of staff used a paid AI tool subscription during the study period. Researchers warn that underreporting by students may exist alongside these detection challenges.
Call for better policy responses
Dr Mark Carrigan from The University of Manchester noted the debate often focuses on cheating risks or educational transformation promises. He argued that universities must move beyond a climate of suspicion to support learning appropriately. Effective policies require clear understanding of student experiences rather than assumptions about technology use.
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