43 citations · 70 across the 4 of their papers we have counts for
4 papers
Designing Visual Explanations and Learner Controls to Engage Adolescents in AI-Supported Exercise Selection
Jeroen Ooge, Arno Vanneste, Maxwell Szymanski +1
E-learning platforms that personalise content selection with AI are often criticised for lacking transparency and controllability. Researchers have therefore proposed solutions suc…
How Learner Control and Explainable Learning Analytics on Skill Mastery Shape Student Desires to Finish and Avoid Loss in Tutored Practice
Conrad Borchers, Jeroen Ooge, Cindy Peng +1
Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely e…
Steering Recommendations and Visualising Its Impact: Effects on Adolescents' Trust in E-Learning Platforms
Jeroen Ooge, Leen Dereu, Katrien Verbert
Researchers have widely acknowledged the potential of control mechanisms with which end-users of recommender systems can better tailor recommendations. However, few e-learning envi…
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations
Aditya Bhattacharya, Jeroen Ooge, Gregor Stiglic +1
Explainable artificial intelligence is increasingly used in machine learning (ML) based decision-making systems in healthcare. However, little research has compared the utility of…