Program Chairs:

Olga Viberg

Olga Viberg an Associate Professor in Media Technology with a specialization in Technology-Enhanced Learning at KTH Royal Institute of Technology, Sweden. She has served as the keynote speaker at several prestigious conferences and contributed to the UNESCO policy work on the quality of online education. Viberg’s research includes a focus on learning analytics in education, design for learning, self-regulated learning, computer-assisted collaborative learning, large-scale cross-cultural research and responsible use of student data in education, focusing on the issues of privacy and trust. She is an active member of the International Society of Learning Analytics Research and the Nordic Learning Analytics community and served as the main organizer for the Nordic Learning Analytics Institute in 2021 and 2022. She is the chief-in-editor of the Journal of Learning Analytics.”

Alejandra MartínezMonés

Alejandra Martínez-Monés is an Associate Professor of Computer Science, specialising in Human-Computer Interaction at the University of Valladolid, Spain. She is a member of the interdisciplinary research group GSIC-EMIC. Her research interests deal with the application of learning analytics to the orchestration of technology-enhanced learning with a human-centred perspective. She is interested in how to help teachers design active pedagogies and feedback at scale. She coordinates the Spanish Network on Learning Analytics (SNOLA) and is co-leader of the European SIG on Learning Analytics. She is Associate Editor of IEEE Transactions on Learning Technologies and has co-authored 28 ISI-JCR indexed journal papers, more than 100 conference papers and book chapters.  

Philip Guo

Philip Guo is an associate professor of Cognitive Science and (by affiliation) Computer Science & Engineering at UC San Diego. His research spans human-computer interaction, data science, programming tools, and online learning. He studies how people learn computer programming and data science, and he builds tools to help people better understand code and data.

General Conference Chair

Daniel Spikol

Daniel Spikol is an Associate Professor of Computational at the  Center for Digital Education, Departments of Computer Science and Science Education.  His research investigates how people collaborate with multimodal learning analytics (inspired by social signal processing ambient computing). He develops technologies that support learning, play, and reflection. His current work uses physical computing to inspire learners for computational tinkering and thinking.

Conference Steering Committee

Armando Fox, University of California, Berkeley
David Joyner, Georgia Tech
Rene Kizilcec, Cornell University
Ken Koedinger, Carnegie Mellon University
John Mitchell, Stanford University
Amy Ogan, Carnegie Mellon University
Eleanor O’Rourke, Northwestern University
‪Mar Pérez-Sanagustín, Université Paul Sabatier Tolouse III
Justin Reich, MIT
Ido Roll, Technion
José A. Ruipérez-Valiante, MIT
Mehran Sahami, Stanford University
Susan Singer, Rollins College
Marcus Specht, Delft University of Technology
Thomas Staubitz, Hasso Plattner Institute
Candace Thille, Amazon/Stanford
Yan Timanovsky, ACM
Claudia Urrea, MIT