Member
Audrey Ekuban
Research Assistant
+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
12 Nov 2024
05 Aug 2024
01 Feb 2024
02 Jun 2023
05 Jul 2021
Publications
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
