What is he best known for?
The fields of study he is best known for:
- Education
- The Internet
- Artificial intelligence
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.
His most cited work include:
- Practices of distributed intelligence and designs for education (864 citations)
- Computational Thinking in K–12 A Review of the State of the Field (805 citations)
- Addressing the Challenges of Inquiry-Based Learning Through Technology and Curriculum Design (801 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Multimedia (26.27%)
- Mathematics education (19.49%)
- Learning sciences (15.68%)
What were the highlights of his more recent work (between 2011-2021)?
- Learning sciences (15.68%)
- Mathematics education (19.49%)
- Human–computer interaction (11.02%)
In recent papers he was focusing on the following fields of study:
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
- Cooperative learning which is related to area like Cognitive psychology, Cognition and Educational technology,
- Artificial intelligence that intertwine with fields like Formal learning.
His research in the fields of Curriculum, Computational thinking and Science education overlaps with other disciplines such as 2019-20 coronavirus outbreak.
His work deals with themes such as Visualization and Multimedia, which intersect with Tangible user interface.
Between 2011 and 2021, his most popular works were:
- Computational Thinking in K–12 A Review of the State of the Field (805 citations)
- Media use, face-to-face communication, media multitasking, and social well-being among 8- to 12-year-old girls (238 citations)
- Designing for deeper learning in a blended computer science course for middle school students (127 citations)
In his most recent research, the most cited papers focused on:
- Education
- The Internet
- Artificial intelligence
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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