Roy Pea 

Roy Pea is David Jacks Professor of Learning Sciences and Education at the Stanford University School of Education. He has extensively published works in the field of the Learning Sciences and on learning technology design. Since 1981, Dr. Pea has been exploring how information technologies can support and advance the scientific understanding and practices of learning and teaching, with particular focus on topics in science, mathematics, and technology education and their associated symbolic and communicative interchanges that are integral to learning.

Marsha Lovett (

Dr. Marsha Lovett is Director of the Eberly Center for Teaching Excellence and a Teaching Professor in the Department of Psychology, both at Carnegie Mellon University. Throughout her career, Dr. Lovett has been deeply involved in both local and national efforts to understand and improve student learning. Her book How Learning Works: 7 Research-Based Principles for Smart Teaching distills the research on how students learn into a set of fundamental principles that instructors can use to guide their teaching. Dr. Lovett has also developed several innovative, educational technologies to promote student learning and metacognition, including StatTutor and the Learning Dashboard.

Abelardo Pardo (

Abelardo Pardo is Lecturer at the University of Sydney, School of Electrical and Information Engineering. He has a PhD in Computer Science by the University of Colorado at Boulder. His research interests are in the area of technology enhanced learning with emphasis on learning and behavioral analytics, computer supported collaborative learning, and personalization of learning experiences. He has participated in national and international projects funded by NSF and the European Union. He is author of numerous publications in prestigious conferences and journals, member of the steering committee of the Society for Learning Analytics Research (, and member of the editorial board of the Journal of Social Media and Interactive Learning Environments.