2019 - Fellow of the American Academy of Arts and Sciences
2008 - Fellow of the American Educational Research Association
His primary areas of investigation include Mathematics education, Multimedia, Learning sciences, Cognitive science and Knowledge management. His studies in Mathematics education integrate themes in fields like Recursion and Transfer of training. His Multimedia study combines topics from a wide range of disciplines, such as Window, Collaborative learning, Affordance and Educational technology.
The Learning sciences study combines topics in areas such as Emerging technologies, Educational research and Convergence. His Cognitive science study integrates concerns from other disciplines, such as Semiotics, Cognitive psychology, Cognition and Web intelligence. His Teaching method study incorporates themes from Computer literacy, Critical thinking, Adult education and Computers in the classroom.
Roy Pea spends much of his time researching Multimedia, Mathematics education, Learning sciences, Knowledge management and Cognition. His study in Multimedia is interdisciplinary in nature, drawing from both Educational technology, Affordance, Human–computer interaction and Mobile device. His research in Mathematics education intersects with topics in Class, Pedagogy, Curriculum and Transfer of training.
Roy Pea has included themes like Data science, Learning theory, Engineering ethics and Educational psychology in his Learning sciences study. His work on Collaborative learning as part of general Knowledge management research is often related to Quality, thus linking different fields of science. Roy Pea combines subjects such as Computer programming, Cognitive psychology and Cognitive science with his study of Cognition.
Learning sciences, Mathematics education, Human–computer interaction, Collaborative learning and Pedagogy are his primary areas of study. His Learning sciences research incorporates themes from Educational data mining, Cognitive science, Educational psychology and Learning analytics. Mathematics education is closely attributed to Meaning in his research.
His Collaborative learning study also includes fields such as
Roy Pea mostly deals with Mathematics education, Pedagogy, Collaborative learning, Computational thinking and Learning sciences. His Mathematics education research is multidisciplinary, incorporating perspectives in Gesture and Scaffold. The concepts of his Collaborative learning study are interwoven with issues in Cooperative learning, Educational technology, Instructional design and Artificial intelligence.
His study in Computational thinking is interdisciplinary in nature, drawing from both Engineering ethics, Analytical skill, Thinking skills and Curriculum. His research integrates issues of Knowledge management, Higher education, Framing, Praise and Cognitive reframing in his study of Learning sciences. The various areas that he examines in his User interface study include Learning environment and Multimedia.
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User Centered System Design: New Perspectives on Human-Computer Interaction
Roy D. Pea.
Journal of Educational Computing Research (1987)
Practices of distributed intelligence and designs for education
Roy D. Pea.
Distributed cognitions : Psychological and educational considerations (1993)
Computational Thinking in K–12 A Review of the State of the Field
Shuchi Grover;Roy Pea.
Educational Researcher (2013)
Addressing the Challenges of Inquiry-Based Learning Through Technology and Curriculum Design
Daniel C. Edelson;Douglas N. Gordin;Roy D. Pea.
The Journal of the Learning Sciences (1999)
Changing how and what children learn in school with computer-based technologies.
Jeremy M. Roschelle;Roy D. Pea;Roy D. Pea;Christopher M. Hoadley;Douglas N. Gordin.
The Future of Children (2000)
The Social and Technological Dimensions of Scaffolding and Related Theoretical Concepts for Learning, Education, and Human Activity
Roy D. Pea.
The Journal of the Learning Sciences (2004)
Conducting Video Research in the Learning Sciences: Guidance on Selection, Analysis, Technology, and Ethics
Sharon J. Derry;Roy D. Pea;Brigid Barron;Randi A. Engle.
The Journal of the Learning Sciences (2010)
Beyond Amplification: Using the Computer to Reorganize Mental Functioning
Roy D. Pea.
Educational Psychologist (1985)
Designing for Virtual Communities in the Service of Learning
Sasha Barab;Rob Kling;James H. Gray;Roy Pea.
Designing for Virtual Communities in the Service of Learning (2004)
On the cognitive effects of learning computer programming
Roy D. Pea;D. Midian Kurland.
New Ideas in Psychology (1984)
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