Roy D. Pea

Developmental and Educational Psychology · 2000–2015

A researcher in the Science corpus: 10 papers; trusts 27 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Developmental and Educational Psychology — 51 citations into it; #1,587 of 8,223 by trust here, #1,346 by citations
• Education — 38 citations into it; #5,957 of 11,309 by trust here, #2,196 by citations
• Computer Science Applications — 22 citations into it; #247 of 1,855 by trust here, #485 by citations
• Sociology and Political Science — 15 citations into it; #18,066 of 22,756 by trust here, #7,774 by citations
• Experimental and Cognitive Psychology — 11 citations into it
• Information Systems — 10 citations into it; #6,334 of 8,771 by trust here, #4,341 by citations
• Human Factors and Ergonomics — 7 citations into it; #73 of 393 by trust here, #106 by citations
• Artificial Intelligence — 6 citations into it

Whom Roy D. Pea trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Giyoo Hatano
2. Valerie Barr
3. Y. Oura
4. Alfred V. Aho
5. David Klahr
6. John R. Anderson
7. Nancy J. Nersessian
8. Jill Denner
9. Daniel L. Schwartz
10. Brigid Barron

Who trusts Roy D. Pea overall

1. Carrie J. Beyer
2. Manu Kapur
3. Sadhana Puntambekar
4. Mina C. Johnson-Glenberg
5. S. Lahlou
6. David Weintrop
7. Valerie J. Shute
8. Deanna Kuhn
9. Elizabeth A. Davis
10. Shuchi Grover

Papers from Roy D. Pea's perspective

Ordered by how strongly the researchers Roy D. Pea trusts endorse each paper. Same corpus, a different order for every researcher.

1. Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. (American Psychologist)
2. Computational thinking
3. The Cultural Nature of Human Development
4. Bringing computational thinking to K-12: what is Involved and what is the role of the computer science education community? (INROADS)
5. Computer games created by middle school girls: Can they be used to measure understanding of computer science concepts? (Comput. Educ.)
6. Programming by choice: urban youth learning programming with scratch (Technical Symposium on Computer Science Education)
7. Learning and Teaching Programming: A Review and Discussion (Computer Science Education)
8. Computational thinking for youth in practice
9. Scalable game design and the development of a checklist for getting computational thinking into public schools (Technical Symposium on Computer Science Education)
10. Changing Minds: Computers, Learning, and Literacy

Their papers

• Designing for deeper learning in a blended computer science course for middle school students (2015) — 394 citations
• Video Research in the Learning Sciences (2007) — 410 citations
• Computational Thinking in K–12 (2013) — 1,110 citations
• Conducting Video Research in the Learning Sciences: Guidance on Selection, Analysis, Technology, and Ethics (2010) — 336 citations
• Beyond participation to co-creation of meaning: mobile social media in generative learning communities (2010) — 176 citations
• One-to-One Technology-Enhanced Learning: an Opportunity for Global Research Collaboration (2006) — 550 citations
• The Cambridge Handbook of the Learning Sciences: Foundations and Opportunities for an Interdisciplinary Science of Learning (2005) — 124 citations
• The Social and Technological Dimensions of Scaffolding and Related Theoretical Concepts for Learning, Education, and Human Activity (2004) — 586 citations
• A walk on the WILD side How wireless handhelds may change computer-supported collaborative learning (2002) — 328 citations
• Changing how and what children learn in school with computer-based technologies. (2000) — 896 citations