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Audrey EkubanMember status icon

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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


01 Feb 2024

02 Jun 2023

05 Jul 2021

07 Oct 2020

18 Nov 2019

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Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details Publications | doi 

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

Publications | Visit External Site for Details  
Publications | Visit External Site for Details  

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

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