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

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.

• Download Published Version (PDF / 1MB)

Mikroyannidis, Alexander; Sharma, Nirwan; Ekuban, Audrey and Domingue, John (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, IEEE, pp. 188–192.

• Request a copy from the author This file is not available for public download

Ekuban, Audrey and Domingue, John (2023). An Architecture for a Decentralised Learning Analytics Platform (Positioning Paper). In: CEUR Workshop Proceedings: SEMMES 2023: Semantic Methods for Events and Stories workshop ESWC 2023 (Alam, Mehwish; Trojahn, Cassia; Hertling, Sven; Pesquita, Catia; Aebeloe, Christian; Aras, Hidir; Azzam, Amr; Cano, Juan; Domingue, John; Gottschalk, Simon; Hartig, Olaf; Hose, Katja; Kirrane, Sabrina; Lisena, Pasquale; Osborne, Francesco; Rohde, Philipp; Steels, Luc; Taelman, Ruben; Third, Aisling; Tiddi, Ilaria and Türker, Rima eds.), CEUR Workshop Proceedings (CEUR-WS.org), 3443.

• Download Published Version (PDF / 934kB)

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.

• Download Published Version (PDF / 596kB)

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.

• Download Accepted Manuscript (PDF / 590kB)

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

• Download Research Poster (PDF / 891kB)