sage rai project full details
SAGE-RAI
Smart Assessment and Guided Education with Responsible AI
Can responsible Generative AI (GenAI) lead to improved student outcomes? In SAGE-RAI, we utilise partner-applied education-oriented GenAI tools to explore this. Inspired by Bloom's 1984 study on 1-to-1 teaching's efficacy and the potential for cost-effective, scalable personalised education, we aim to unlock this potential. Addressing tutor limitations in accommodating large cohorts, we investigate how responsible GenAI can enhance tutoring, offer tailored more personalised learning experiences and generate student feedback. Our goal is to create a platform supporting assessment and student guidance while responsibly applying GenAI, addressing challenges of misinformation, copyright, and bias. The journey embodies educational innovation for better outcomes.
Partners
- Open Data Institute (ODI)
News
11 Mar 2026
Alexander Mikroyannidis
09 Oct 2025
Nancy Pontika
28 Apr 2025
Nancy Pontika
06 Feb 2025
KMi News
15 Nov 2024
KMi News
Mikroyannidis, A., Kwarteng, J., Third, A., Domingue, J. and Tarrant, D. (2026). Learning with Responsible AI: Perceptions and Experiences of Learners in Online Professional Education. In: 20th International Technology, Education and Development Conference (INTED 2026), 2-4 Mar 2026, Valencia, Spain. https://oro.open.ac.uk/109149/.
Kwarteng, J., Third, A., Mikroyannidis, A., Tarrant, D. and Domingue, J. (2026). SAGE-RAI: Design Patterns for Transparent RAG Systems. In: The ACM Web Conference 2026 (WWW '26), 13-17 Apr 2026, Dubai, United Arab Emirates. https://oro.open.ac.uk/108348/.















