Daniel L. Schwartz
Developmental and Educational Psychology · 2004–2015
A researcher in the Science corpus: 14 papers; trusts 31 researchers and is trusted by 49 researchers here, as inferred from the citation graph.
Subfields
- Developmental and Educational Psychology — 65 citations into it; #1,338 of 8,223 by trust here, #547 by citations
- Education — 54 citations into it; #568 of 11,309 by trust here, #787 by citations
- Statistics and Probability — 26 citations into it; #1,414 of 12,932 by trust here, #1,624 by citations
- Cognitive Neuroscience — 25 citations into it
- Experimental and Cognitive Psychology — 20 citations into it; #4,297 of 9,731 by trust here, #2,296 by citations
- Artificial Intelligence — 16 citations into it; #23,543 of 35,345 by trust here, #18,186 by citations
- Cognitive Science & Psychology — 10 citations into it
- Social Psychology — 9 citations into it
Whom Daniel L. Schwartz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Taylor Martin
- Joanne Lobato
- Robert S. Siegler
- Manu Kapur
- Stella Vosniadou
- Michelene T. H. Chi
- John D. Bransford
- Keith Sawyer
- E. Gibson
- David Klahr
Who trusts Daniel L. Schwartz overall
- Manu Kapur
- Daniel M. Belenky
- Timothy J. Nokes-Malach
- James G. Greeno
- Catherine C. Chase
- Joanne Lobato
- J. V. van Merriënboer
- Shuchi Grover
- Clarice Wirkala
- M. Kunter
Papers from Daniel L. Schwartz's perspective
Ordered by how strongly the researchers Daniel L. Schwartz trusts endorse each paper. Same corpus, a different order for every researcher.
- All other things being equal: acquisition and transfer of the control of variables strategy.
- Inventing to Prepare for Future Learning: The Hidden Efficiency of Encouraging Original Student Production in Statistics Instruction
- Categorization and Representation of Physics Problems by Experts and Novices
- Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. (American Psychologist)
- How Design Experiments Can Inform a Rethinking of Transfer andViceVersa
- When and where do we apply what we learn? A taxonomy for far transfer.
- The construction of reality in the child
- Structure mapping in analogy and similarity.
- The Equivalence of Learning Paths in Early Science Instruction (Psychology Science)
- Where mathematics comes from : how the embodied mind brings mathematics into being
Their papers
- Inventing to Prepare for Future Learning: The Hidden Efficiency of Encouraging Original Student Production in Statistics Instruction (2004) — 794 citations
- Physically Distributed Learning: Adapting and Reinterpreting Physical Environments in the Development of Fraction Concepts (2005) — 319 citations
- How Mathematics Propels the Development of Physical Knowledge (2005) — 61 citations
- Scientific and Pragmatic Challenges for Bridging Education and Neuroscience (2008) — 220 citations
- Seeking the General Explanation: A Test of Inductive Activities for Learning and Transfer. (2015) — 90 citations
- Resisting Overzealous Transfer: Coordinating Previously Successful Routines With Needs for New Learning (2012) — 122 citations
- Practicing versus inventing with contrasting cases: The effects of telling first on learning and transfer. (2011) — 474 citations
- Parallel prototyping leads to better design results, more divergence, and increased self-efficacy (2010) — 429 citations
- Teachable Agents and the Protégé Effect: Increasing the Effort Towards Learning (2009) — 366 citations
- Constructivism in an age of non-constructivist assessments (2009) — 109 citations
- The Cambridge Handbook of the Learning Sciences: Spatial Representations and Imagery in Learning (2005) — 91 citations
- Toward Teachers' Adaptive Metacognition (2005) — 252 citations
- LEARNING BY TEACHING: A NEW AGENT PARADIGM FOR EDUCATIONAL SOFTWARE (2005) — 492 citations
- EFFICIENCY AND INNOVATION IN TRANSFER (2005) — 658 citations