STEM Faculty

Audrey Ekuban

Research Associate

Professional biography

I am a Research Associate within the Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering & Mathematics at The Open University. I hold a Master’s degree in Data Science.

I started my KMi journey as part of the Institute of Coding project, in which I explored how the Learning Analytics Dashboard of the Open University (OUAnalyse) could be deployed in different educational institutions. I am now part of the GenAI-OU project in which I played a pivotal role in the creation of an AI Module Writing Assistant Proof of Concept. I am currently exploring the development of Generative AI tools that can offer personalised learning to OU students.

Research interests

My research interests include Learning Analytics, Privacy Preserving Machine learning, Decentralisation and Blockchains, and Generative AI.

Latest news

Beyond the buzzword: AI, inclusion and the future of adult…

30 Sep 2025

Tuesday September 23rd, as part of MK Tech Week 2025 and alongside Esther Spring, KMi’s Prof. John Domingue chaired a…

Alexander Mikroyannidis presents latest AI in Education research at EdMedia…

29 May 2025

KMi’s Senior Research Fellow Alexander Mikroyannidis presented his latest research on AI in Education at the EdMedia + Innovate Learning…

Audrey Ekuban wins silver award at 2024 STEM 3-Minute-Thesis Conference

12 Nov 2024

KMi doctoral student Audrey Ekuban won second place, in the Year 3 and 4 category, at the STEM PhD Student…

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Latest publications

Displaying 10 of 10 publications

Rienties, B., Bektic, D., Coughlan, E., Coughlan, T., Domingue, J., Edwards, C., Ekuban, A., Herodotou, C., Kwarteng, J., Sanders, C., Tessarolo, F. and Ullmann, T., 2027, ‘A five-study Design-Based Research Approach to co-design an Institutional AI Digital Assistant’, Computers & Education, 256, https://oro.open.ac.uk/111778/.
Ekuban, A., Dimes, R. and Motta, E., 2026, ‘SABRINA: The Stakeholder Advocate’, in 25th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2026), 29 Sep - 01 Oct 2026, Turin, Italy., https://oro.open.ac.uk/112369/.
Mikroyannidis, A., Domingue, J., Ekuban, A. and Kwarteng, J., 2025, ‘AIDA: AI Digital Assistant for Personalised and Adaptive Online Learning’, in EdMedia + Innovate Learning 2025, 19-23 May 2025, Barcelona, Spain., https://oro.open.ac.uk/104371/.
Mikroyannidis, A., Ekuban, A., Kwarteng, J. and Domingue, J., 2025, ‘Best Practices for the Responsible Adoption of Generative AI in Higher Education’, Proceedings, 114(1), pp. 1–8., https://oro.open.ac.uk/103123/.
Mikroyannidis, A., Sharma, N., Ekuban, A. and Domingue, J., 2024, ‘Using Generative AI and ChatGPT for improving the production of distance learning materials’, in 2024 IEEE International Conference on Advanced Learning Technologies (ICALT), 01-04 Jul 2024, Nicosia, Cyprus., https://oro.open.ac.uk/97397/.
Ekuban, A. and Domingue, J., 2023, ‘An Architecture for a Decentralised Learning Analytics Platform (Positioning Paper)’, in ESWC 2023 Workshops and Tutorials. Semantic Methods for Events and Stories (SEMMES), 28-29 May 2023, Hersonissos, Greece., https://oro.open.ac.uk/89547/.
Ekuban, A. and Domingue, J., 2023, ‘Towards Decentralised Learning Analytics (Positioning Paper)’, in WWW '23 Companion, 30 Apr - 04 May 2023, Austin, TX, USA., https://oro.open.ac.uk/88077/.
Haleem, M. S., Ekuban, A., Antonini, A., Pagliara, S., Pecchia, L. and Allocca, C., 2023, ‘Deep-Learning-Driven Techniques for Real-Time Multimodal Health and Physical Data Synthesis’, Electronics, 12(9), https://oro.open.ac.uk/88715/.
Ekuban, A., 2021, ‘EMPRESS: Privacy-preserving decentralised educational analytics with student self-sovereignty’, Postgraduate Research Poster Competition, The Open University., https://oro.open.ac.uk/77357/.
Ekuban, A., Mikroyannidis, A., Third, A. and Domingue, J., 2021, ‘Using GitLab Interactions To Predict Student Success When Working As Part Of A Team’, in ICL2020, 23 Sep - 25 Sep 2020., https://oro.open.ac.uk/71707/.

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