Generative AI in education: An analysis of student acceptance, uses and outcomes. School: Business SchoolTeam: Dr Jordana Viotto Da Cruz, Dr Susan Dunnett, and Prof Raluca Bunduchi AbstractOur aim is to understand the acceptance of generative AI among students, the practices that students employ in leveraging generative AI to support their assignment, and how the acceptance and practices impact their performance in their assessment. Our research is designed in three parts. In the first part, we will use a survey to collect data about the students’ adoption attitudes towards generative AI. In the second part, we will run an experiment investigating students’ practices with generative AI and the related outcomes through an in- class exercise. The exercise involves generating a business idea and leveraging generative AI to refine this idea. The final part of the study will include interviews with a sample group of students, which allows in-depth exploration of their attitudes, adoption and use of AI. We will provide opportunity to reflect on their engagement with generative AI across their studies and the ethics of AI use. This project will provide insights into the actual practices that students engage in with AI during their assignments and will then link these practices with different attitudes and specific outcomes on their performance. We aim to provide robust analyses that will inform education professionals and institutions to help them to understand students’ approach to, use of, and understanding of AI. This will allow Universities to situate their AI policy and guidance within a deep understanding of student perspectives and practices. Our study will also enable a discussion at a societal level regarding the use of generative AI in educational contexts. This article was published on 2024-10-16