'We need to move beyond a climate of suspicion': New study finds major gaps in how students and lecturers see AI
Research into how AI is used in university-level study has found that there is a difference in how students and lecturers view the technology and how it is being used.
A new study conducted by the University of Manchester and Spain’s Universidad del Pais Vasco/Euskal Herriko Unibertsitatea has uncovered significant disparities between how academics and students perceive the use of generative AI in university settings. The research, which took place from April to June 2024, surveyed 45 academic staff and 86 students, revealing that while students believe they utilize AI minimally, academics tend to overestimate its prevalence in coursework and research.
Despite the apparent overestimation by staff, the findings suggest that identifying AI usage remains challenging for educators. Only 14% of surveyed staff reported using a paid AI tool subscription, indicating a reluctance to openly acknowledge AI integration. Generative AI is commonly employed for generating written text, improving grammar, and conducting research, while also streamlining the process of finding sources.
Dr. Mark Carrigan, a Senior Lecturer in Education at The University of Manchester and co-author of the study, emphasizes that the debate surrounding AI in universities is fraught with complexities beyond mere concerns of academic dishonesty or educational innovation. Carrigan argues that a nuanced understanding of AI use among students is crucial for universities to develop effective policies supporting learning.
The study highlights the necessity for universities to adopt a more balanced perspective on AI, moving beyond suspicion to explore how these tools can genuinely enhance the learning experience.
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