no code implementations • 9 Jan 2023 • Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
These models are believed to be practical tools for analyzing students' data and ensuring fairness in EDS.
no code implementations • 22 Aug 2022 • Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege, Eirini Ntoutsi
Predicting students' academic performance is one of the key tasks of educational data mining (EDM).
no code implementations • 20 Jun 2022 • Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
Group work is a prevalent activity in educational settings, where students are often divided into topic-specific groups based on their preferences.
no code implementations • 25 Apr 2021 • Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi
To this end, we introduce the fair-capacitated clustering problem that partitions the data into clusters of similar instances while ensuring cluster fairness and balancing cluster cardinalities.