Currently browsing: Items authored or edited by Audrey Ekuban https://orcid.org/0000-0002-2261-7218

Ekuban, Audrey and Domingue, John (2023). Towards Decentralised Learning Analytics (Positioning Paper). In: Companion Proceedings of the ACM Web Conference 2023 (WWW '23 Companion), April 30-May 4, 2023, Austin, TX, USA (Ding, Ying; Tang, Jie; Sequeda, Juan; Aroyo, Lora; Castillo, Carlos and Houben, Geert-Jan eds.), ACM, New York, pp. 1435–1438.

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Haleem, Muhammad Salman; Ekuban, Audrey; Antonini, Alessio; Pagliara, Silvio; Pecchia, Leandro and Allocca, Carlo (2023). Deep-Learning-Driven Techniques for Real-Time Multimodal Health and Physical Data Synthesis. Electronics, 12(9) p. 1989.

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Ekuban, Audrey; Mikroyannidis, Alexander; Third, Allan and Domingue, John (2021). Using GitLab Interactions To Predict Student Success When Working As Part Of A Team. In: Educating Engineers for Future Industrial Revolutions. ICL 2020. Advances in Intelligent Systems and Computing (Auer, M.E. and Rüütmann, T. eds.), 1328 pp. 127–138.

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Ekuban, Audrey (2021). EMPRESS: Privacy-preserving decentralised educational analytics with student self-sovereignty. Postgraduate Research Poster Competition, The Open University.

• Download Research Poster (PDF / 891kB)