Katharina Scheiter
Experimental and Cognitive Psychology · 2006–2017
A researcher in the Science corpus: 10 papers; trusts 32 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Experimental and Cognitive Psychology — 92 citations into it; #827 of 9,731 by trust here, #1,217 by citations
- Developmental and Educational Psychology — 64 citations into it; #4,475 of 8,223 by trust here, #3,148 by citations
- Artificial Intelligence — 39 citations into it; #12,157 of 35,345 by trust here, #12,387 by citations
- Education — 39 citations into it; #10,828 of 11,309 by trust here, #5,377 by citations
- Automotive Engineering — 9 citations into it
- Cognitive Science & Psychology — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom Katharina Scheiter trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexander Renkl
- Richard E. Mayer
- Keith Rayner
- B. Zimmerman
- Robert K. Atkinson
- Paul Ginns
- P. Lachenbruch
- Vincent A. W. M. M. Aleven
- Tamara van Gog
- Roland Brunken
Who trusts Katharina Scheiter overall
- Tamara van Gog
- Slava Kalyuga
- Mary Hegarty
- Brian W. Miller
- Fred Paas
- John Sweller
- Fang‐Tzu Hu
- Jimmie Leppink
- Alexander Renkl
- Ø. Anmarkrud
Papers from Katharina Scheiter's perspective
Ordered by how strongly the researchers Katharina Scheiter trusts endorse each paper. Same corpus, a different order for every researcher.
- Toward Computer-Based Support of Meta-Cognitive Skills: a Computational Framework to Coach Self-Explanation
- An effective metacognitive strategy: learning by doing and explaining with a computer-based Cognitive Tutor
- Worked-out examples: instructional explanations support learning by self- explanations
- Direct Measurement of Cognitive Load in Multimedia Learning
- Using subjective measures to detect variations of intrinsic cognitive load within problems
- Statistical Power Analysis for the Behavioral Sciences (2nd ed.)
- Self-regulated learning and academic achievement : theoretical perspectives
- From Example Study to Problem Solving: Smooth Transitions Help Learning
- A Reconsideration of Cognitive Load Theory
- Theories of Self-Regulated Learning and Academic Achievement: An Overview and Analysis
Their papers
- Studying Visual Displays: How to Instructionally Support Learning (2017) — 164 citations
- Picture or Text First? Explaining Sequence Effects when Learning with Pictures and Text (2015) — 113 citations
- Disfluency Meets Cognitive Load in Multimedia Learning: Does Harder‐to‐Read Mean Better‐to‐Understand? (2014) — 89 citations
- Learning to see: Guiding students' attention via a Model's eye movements fosters learning (2013) — 224 citations
- In the eyes of the beholder: How experts and novices interpret dynamic stimuli (2010) — 405 citations
- Eye tracking as a tool to study and enhance multimedia learning (2010) — 434 citations
- The Scientific Value of Cognitive Load Theory: A Research Agenda Based on the Structuralist View of Theories (2009) — 121 citations
- Explaining the split-attention effect: Is the reduction of extraneous cognitive load accompanied by an increase in germane cognitive load? (2009) — 429 citations
- Learner Control in Hypermedia Environments (2007) — 348 citations
- Can learning from molar and modular worked examples be enhanced by providing instructional explanations and prompting self-explanations? * (2006) — 196 citations