SCI PhD student Kamil Akhuseyinoglu and Professor Peter Brusilovsky recently won the Best Paper Award at the Association for Computer Machinery (ACM)'s 29th Conference on User Modeling, Adaptation and Personalization (UMAP). Their paper, titled "Data-Driven Modeling of Learners' Individual Differences for Predicting Engagement and Success in Online Learning," proposes a new model for exploring how individual differences relate to student performance. The ACM UMAP is a conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information.
Akhuseyinoglu is currently pursuing a PhD in Information Science at SCI. He is part of the research team at the University of Pittsburgh's Personalized Adaptive Web Systems (PAWS) Lab. Brusilovsky is the head of PAWS Lab, and his research interests include user modeling, intelligent tutoring systems, e-learning, and human-computer interaction.
Please join us in congratulating Kamil and Peter on this exciting achievement!