Organizers

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.

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.

Ken Koedinger is Professor of Human-Computer Interaction and Psychology at Carnegie Mellon. He explores how people think and learn by developing and studying technology-enhanced learning. He leads the LearnSphere effort (learnsphere.org), which integrates learning data and analytics across multiple resources. And he directs LearnLab (learnlab.org), which started with 10 years of National Science Foundation funding and is now the scientific arm of CMU’s Simon Initiative (cmu.edu/simon). He is also a founder of CS-SPLICE .

Yang Shi is a PhD student at North Carolina State University. His research focuses on developing data-driven methods for representing program code to enhance the ability of intelligent learning environment to support students and model their learning. Yang's research interest includes CSEDM, Automatic Hint Generation, Programming Language Processing, Software Representations, Software Analysis and Deep Learning.

Program Committee

• Bita Akram, North Carolina State University, USA
• Austin Cory Bart, University of Delaware, USA
• Barbara Ericson, University of Michigan, USA
• Yun Huang, Carnegie Mellon University, USA
• Petri Ihantola, University of Helsinki, Finland
• Juho Leinonen, University of Helsinki, Finland
• Collin Lynch, North Carolina State University, USA
• Kelly Rivers, Carnegie Mellon University, USA
• Didith Mercedes Rodrigo, Ateneo de Manila University, Philippines
• Shaghayegh (Sherry) Sahebi, University at Albany, SUNY, USA
• Cliff Shaffer, Virginia Tech University, USA
• Alan Smeaton, Dublin City University, Ireland
• Sergey Sosnovsky, Utrecht University, Netherlands
• John Stamper, Carnegie Mellon University, USA
• Michael Yudelson, ACT, Inc