Organizers

Bita Akram is a teaching assistant professor with the Department of Computer Science. She has received her Ph.D. from NC State in 2019. Her research lies at the intersection of artificial intelligence and advanced learning technologies with its application on improving access and quality of CS Education.

Thomas Price is an Assistant Professor of Computer Science at North Carolina State University. His primary research goal is to develop learning environments that automatically support students through AI and data-driven help features. His work has focused on the domain of computing education, where he has developed techniques for automatically generating programming hints and feedback for students in real-time by leveraging student data. He has helped organized a number of efforts at the intersection of AIED, Data Mining and CS Education, including the CS-SPLICE working group on programming snapshot representation and prior CSEDM and CS-SPLICE workshops.

Yang Shi is a PhD student at North Carolina State University. He has been working towards building data-driven methods for representing program code to enhance the ability of Intelligent Tutoring Systems and benefit student modeling process. With a focus of DM/ML approaches applied to CS education, his research interests also include Programming Language Processing, Software Analysis and Deep Learning.

Peter Brusilovsky is a Professor of Information Science and Intelligent Systems at the University of Pittsburgh, where he also directs Personalized Adaptive Web Systems (PAWS) lab. He has been working in the field of adaptive educational systems, user modeling, and intelligent user interfaces for more than 30 years. He published numerous papers and edited several books on adaptive hypermedia and the adaptive Web. He is a founder of CS-SPLICE and has advanced research and infrastructure for CSEDM.

Sharon I-Han Hsiao is an Assistant Professor at the School of Computing, Informatics & Decision Systems Engineering in Arizona State University. Her research lies in the intersections of Informatics & Computational Technologies for Learning with a focus on Intelligent Tutoring Systems, Computer Science Education, Adaptive Educational Systems, Open User Modeling, Data Sciences, Visualization, Social Computing, and Learning Technologies.

Program Committee

• Kamil Akhuseyinoglu, University of Pittsburgh, USA

• Satabdi Basu, SRI Education, USA

• Adam Gaweda, North Carolina State University, USA

• Julio Guerra, University of Pittsburgh, USA

• Arnon Hershkovitz, Tel Aviv University, Israel

• Ken Koedinger, Carnegie Mellon University, USA

• Nguyen-Thinh Le, Humboldt-University of Berlin, Germany

• Juho Leinonen, Aalto University, Finland

• Collin Lynch, North Carolina State University, USA

• Tanja Mitrovic, University of Canterbury, New Zealand

• Narges Norouzi, University of Californa Santa Cruz, USA

• Benjamin Paaßen, Humboldt-University of Berlin, Germany

• Kelly Rivers, Carnegie Mellon University, USA

• Didith Mercedes Rodrigo, Ateneo de Manila University, Philippines

• Cliff Shaffer, Virginia Tech University, USA

• Alan Smeaton, Dublin City University, Ireland

• Andy Smith, North Carolina State University, USA

• Sergey Sosnovsky, Universiteit Utrecht, Netherlands

• John Stamper, Carnegie Mellon University, USA

• Khushboo Thaker, University of Pittsburgh, USA

• Eric Wiebe, North Carolina State University, USA

• Michael Yudelson, ACT, Inc