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...

Keys: Data Science, Learning Analytics, Machine Learning, Data Mining, Natural Language Processing, Computer Vision, Deep Learning, Generative AI

Mikroyannidis, A., Ekuban, A., , j. and Domingue, J. (2025) Best Practices for the Responsible Adoption of Generative AI in Higher Education, Proceedings, 114, 1, pp. 1-8

Mikroyannidis, A., Sharma, N., Ekuban, A. and Domingue, J. (2024) Using Generative AI and ChatGPT for improving the production of distance learning materials, 24th IEEE International Conference on Advanced Learning Technologies (ICALT 2024), Nicosia, Cyprus, IEEE Computer Society

Ekuban, A. and Domingue, J. (2023) Towards Decentralised Learning Analytics (Positioning Paper), WWW '23 Companion, Austin, TX, USA

Haleem, M., 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, pp. 1989, MDPI

Ekuban, A. (2021) EMPRESS: Privacy-preserving decentralised educational analytics with student self-sovereignty

Ekuban, A., Mikroyannidis, A., Third, A. and Domingue, J. (2020) Using GitLab Interactions To Predict Student Success When Working As Part Of A Team, 23rd International Conference on Interactive Collaborative Learning (ICL 2020), Tallinn, Estonia