David Weintrop
Computer Science Applications · 2015–2023
A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Science Applications — 31 citations into it; #1,552 of 1,855 by trust here, #1,051 by citations
- Developmental and Educational Psychology — 31 citations into it; #6,864 of 8,223 by trust here, #7,501 by citations
- Information Systems — 20 citations into it
- Education — 11 citations into it
- Computer Networks and Communications — 7 citations into it
- Sociology and Political Science — 7 citations into it
- Software — 6 citations into it; #1,062 of 1,227 by trust here, #1,147 by citations
- Media Technology — 5 citations into it
Whom David Weintrop trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrea A. diSessa
- Shuchi Grover
- Uri Wilensky
- Stephen Cooper
- John H. Maloney
- Matthew L. Jones
- Roy D. Pea
- Valerie Barr
- Anthony V. Robins
- J. Gilbert
Who trusts David Weintrop overall
Papers from David Weintrop's perspective
Ordered by how strongly the researchers David Weintrop trusts endorse each paper. Same corpus, a different order for every researcher.
- Changing Minds: Computers, Learning, and Literacy
- Learning and Teaching Programming: A Review and Discussion (Computer Science Education)
- Computational Thinking in K–12
- Scalable game design and the development of a checklist for getting computational thinking into public schools (Technical Symposium on Computer Science Education)
- Computational thinking for youth in practice
- Bringing computational thinking to K-12: what is Involved and what is the role of the computer science education community? (INROADS)
- Relationships between reading, tracing and writing skills in introductory programming (International Computing Education Research Workshop)
- Cultivating Model-Based Reasoning in Science Education
- Thinking Like a Wolf, a Sheep, or a Firefly: Learning Biology Through Constructing and Testing Computational Theories—An Embodied Modeling Approach
- Metarepresentation: Native Competence and Targets for Instruction
Their papers
- Studying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programming (2023) — 390 citations
- Comparing Block-Based and Text-Based Programming in High School Computer Science Classrooms (2017) — 319 citations
- Defining Computational Thinking for Mathematics and Science Classrooms (2016) — 1,401 citations
- To block or not to block, that is the question: students' perceptions of blocks-based programming (2015) — 388 citations