Member
Audrey Ekuban
Research Associate
+44 (0)1908 652821
Having started my KMi journey, in January 2019, 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 part of the KMi GenAI-OU project, in which I am exploring the benefits and risks of Generative AI in Education.
I started my P/T PhD at KMi in February 2020, researching the role that emerging privacy-preserving Machine Learning techniques can play in creating privacy-by-design and ethics-by-design applications.
Keys: Data Science, Learning Analytics, Machine Learning, Data Mining, Natural Language Processing, Computer Vision, Deep Learning, Generative AI
Team: John Domingue, Alexander Mikroyannidis, Riccardo Pala, Aisling Third
News
30 Sep 2025
29 May 2025
12 Nov 2024
05 Aug 2024
01 Feb 2024
Publications
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/.
