Martina A. Rau
Education · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Education — 68 citations into it; #7,269 of 11,309 by trust here, #9,615 by citations
- Developmental and Educational Psychology — 64 citations into it; #5,335 of 8,223 by trust here, #7,501 by citations
- Experimental and Cognitive Psychology — 52 citations into it; #6,178 of 9,731 by trust here, #8,664 by citations
- Artificial Intelligence — 14 citations into it
- Statistics and Probability — 14 citations into it
- Automotive Engineering — 11 citations into it
- Social Psychology — 10 citations into it
- Physical and Theoretical Chemistry — 8 citations into it
Whom Martina A. Rau trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexander Renkl
- Wolfgang Schnotz
- Shaaron E. Ainsworth
- Barbara Tversky
- Peggy N. Van Meter
- Andrea A. diSessa
- John Sweller
- E. Gibson
- Richard E. Mayer
- Tina Seufert
Who trusts Martina A. Rau overall
Papers from Martina A. Rau's perspective
Ordered by how strongly the researchers Martina A. Rau trusts endorse each paper. Same corpus, a different order for every researcher.
- Supporting Coherence Formation in Learning from Multiple Representations
- The worked-out-example principle in multimedia learning
- DeFT: A Conceptual Framework for Considering Learning with Multiple Representations.
- Categorization and Representation of Physics Problems by Experts and Novices
- Element Interactivity and Intrinsic, Extraneous, and Germane Cognitive Load
- The Cambridge Handbook of Multimedia Learning: An Integrated Model of Text and Picture Comprehension
- Worked-out examples: instructional explanations support learning by self- explanations
- Instructional Aids to Support a Conceptual Understanding of Multiple Representations.
- Situated Learning: Legitimate Peripheral Participation
- Promoting Self-Regulation in Science Education: Metacognition as Part of a Broader Perspective on Learning
Their papers
- How Students Learn Content in Science, Technology, Engineering, and Mathematics (STEM) Through Drawing Activities (2019) — 87 citations
- Conditions for the Effectiveness of Multiple Visual Representations in Enhancing STEM Learning (2017) — 256 citations
- How to make ‘more’ better? Principles for effective use of multiple representations to enhance students’ learning about fractions (2017) — 71 citations