3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.LG2024★ 3 cited
Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments
Valdemar Švábenský, Kristián Tkáčik, Aubrey Birdwell +6
This full paper in the research track evaluates the usage of data logged from cybersecurity exercises in order to predict students who are potentially at risk of performing poorly.…
cs.LG2024
Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students
Valdemar Švábenský, Mélina Verger, Maria Mercedes T. Rodrigo +5
Algorithmic bias is a major issue in machine learning models in educational contexts. However, it has not yet been studied thoroughly in Asian learning contexts, and only limited w…