Student AI guidance – a collaborative approach

Abstract

This presentation introduced Canterbury Christ Church University’s Learning and Teaching student guidance to generative artificial intelligence or GenAI (CCCU, 2024). Adopting a collaborative approach, this guidance was created by the Student AI Working Group, composed of a wide range of professionals – including those navigating professional, academic and third space domains – and students. The guidance takes an educative, rather than punitive, approach to GenAI. As a result, the guidance aims to develop students’ understanding of what GenAI is and how it works, and examine both acceptable uses – ways in which GenAI can support research and assignment development – and limitations, spanning issues with integrity, accuracy, fabrication, bias, copyright and ethics. The session not only introduced the guidance per se but particularly focussed on (a) the role learning developers played in the creation of the guidance; (b) how the guidance has been used for teaching purposes, in specific courses; (c) student and staff feedback on the use of the guidance in classroom settings; (d) plans to evaluate this new resource; (e) future developments and further application to learning and teaching practices.