Pooja Gupta Sidney
Education · 2015–2018
A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Education — 43 citations into it
- Experimental and Cognitive Psychology — 31 citations into it
- Developmental and Educational Psychology — 27 citations into it
- Statistics and Probability — 25 citations into it
- Artificial Intelligence — 12 citations into it
Whom Pooja Gupta Sidney trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- T. Florian Jaeger
- Bethany Rittle-Johnson
- Robert S. Siegler
- Richard E. Mayer
- Roxana Moreno
- Cognitive Sciences
- Michelene T. H. Chi
- Kevin Dunbar
- Martha W. Alibali
- Mary D. Ainley
Who trusts Pooja Gupta Sidney overall
Papers from Pooja Gupta Sidney's perspective
Ordered by how strongly the researchers Pooja Gupta Sidney trusts endorse each paper. Same corpus, a different order for every researcher.
- Analogical problem solving
- Learning and Transfer: A General Role for Analogical Encoding
- Does comparing solution methods facilitate conceptual and procedural knowledge? An experimental study on learning to solve equations.
- Decreasing Cognitive Load for Novice Students: Effects of Explanatory versus Corrective Feedback in Discovery-Based Multimedia
- Developing Conceptual Understanding and Procedural Skill in Mathematics: An Iterative Process.
- Interactive Multimodal Learning Environments
- Nine Ways to Reduce Cognitive Load in Multimedia Learning
- Knowing and Teaching Elementary Mathematics Teachers' Understanding of Fundamental Mathematics in China and the United States
- Instructional Design Consequences of an Analogy between Evolution by Natural Selection and Human Cognitive Architecture
- The Transfer of Scientific Principles Using Concrete and Idealized Simulations (The Journal of the Learning Sciences)
Their papers
- Making Connections in Math: Activating a Prior Knowledge Analogue Matters for Learning (2015) — 60 citations
- Who Benefits from Diagrams and Illustrations in Math Problems? Ability and Attitudes Matter (2018) — 47 citations
- Variability in the natural number bias: Who, when, how, and why (2015) — 90 citations
- How do contrasting cases and self-explanation promote learning? Evidence from fraction division☆ (2015) — 51 citations