The following RIPPAs are currently accepting participants or will be presented at an upcoming UKICER. Check the project details for more information.
Allocating students to undergraduate and postgraduate final year projects is routine but under-examined in computing education. Practices vary widely across institutions, with decisions about fair ness towards students and staff often left implicit and inconsistently applied. This is exacerbated by growing and more diverse cohorts, with proposed technical solutions raising doubts about fairness. This RIPPA will study allocation processes and their impact on procedural fairness across institutions. It will investigate project allocation as a socio-technical design challenge through a system atic literature review and studies with academic staff and students. By comparing allocation processes and stakeholder perceptions across contexts, the project will develop shared language, identify key trade-offs, and produce practical recommendations to support fairer project allocation practices.
Generative AI presents significant challenges for Computer Science assessment, raising questions about validity, authenticity, and inclusivity across diverse assessment formats. This RIPPA brings together computing educators to co-create and apply a practical framework for evaluating assessment in relation to generative AI, generating a shared evidence base and practical guidance to support informed and inclusive assessment design in AI-rich education.