The FairAI4EdTech team will be presenting at the upcoming HESPA Virtual Conference from the 26-28 of November. The team will take the stage with the workshop titled “Embedding Responsible AI in Learning Analytics: From Ethical Principles to Institutional Practice”.

This workshop will present findings from the recent survey on Responsible AI in LA across UK Higher Education, highlighting key challenges HE institutions face. Participants will engage with an initial framework tailored to the specific needs of LA in HE, focusing on core principles – such as transparency, privacy, and accountability – and discussing practical approaches to implement them. Collaborative dialogue among participants will further explore ways to implement responsible AI.

Session Synopsis: Universities are increasingly adopting data-driven strategies to enhance student success, with AI applications such as Learning Analytics (LA) and Predictive Learning Analytics (PLA) playing a key role in identifying at-risk students, personalising learning, supporting teachers, and guiding educational decision-making. However, concerns are rising about the potential harms these systems may pose, such as algorithmic biases that could lead to unequal support for minority students. While the need for Responsible AI in LA is widely recognised, practical guidance on operationalising these principles remains limited.