Tina Seufert

Experimental and Cognitive Psychology · 2003–2021

A researcher in the Science corpus: 6 papers; trusts 27 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Experimental and Cognitive Psychology — 77 citations into it; #916 of 9,731 by trust here, #2,682 by citations
• Developmental and Educational Psychology — 72 citations into it; #763 of 8,223 by trust here, #1,887 by citations
• Artificial Intelligence — 36 citations into it; #20,821 of 35,345 by trust here, #23,077 by citations
• Education — 26 citations into it; #1,447 of 11,309 by trust here, #4,358 by citations
• Human-Computer Interaction — 21 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Social Psychology — 9 citations into it
• Computer Science Applications — 6 citations into it

Whom Tina Seufert trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Richard E. Mayer
2. Dedre Gentner
3. John Sweller
4. Slava Kalyuga
5. Roxana Moreno
6. Alexander Renkl
7. Maria Bannert
8. Wolfgang Schnotz
9. Arthur B. Markman
10. B. Zimmerman

Who trusts Tina Seufert overall

1. Shaaron E. Ainsworth
2. Slava Kalyuga
3. Kirsten Berthold
4. Alexander Renkl
5. Martina A. Rau
6. Ton de Jong
7. Leonard A. Annetta
8. Roxana Moreno
9. P. Barmby
10. Michelle Cook

Papers from Tina Seufert's perspective

Ordered by how strongly the researchers Tina Seufert trusts endorse each paper. Same corpus, a different order for every researcher.

1. Element Interactivity and Intrinsic, Extraneous, and Germane Cognitive Load
2. Working memory
3. Impact of Reducing Intrinsic Cognitive Load on Learning in a Mathematical Domain.
4. The worked-out-example principle in multimedia learning
5. The Expertise Reversal Effect
6. Structure mapping in analogy and similarity.
7. The Cambridge Handbook of Multimedia Learning: An Integrated Model of Text and Picture Comprehension
8. Assimilating complex information
9. Nine Ways to Reduce Cognitive Load in Multimedia Learning
10. Using subjective measures to detect variations of intrinsic cognitive load within problems

Their papers

• Signaling in virtual reality influences learning outcome and cognitive load (2021) — 294 citations
• Understanding instructional design effects by differentiated measurement of intrinsic, extraneous, and germane cognitive load (2020) — 187 citations
• The interplay between self-regulation in learning and cognitive load (2018) — 193 citations
• Memory characteristics and modality in multimedia learning: An aptitude–treatment–interaction study (2009) — 103 citations
• Cognitive load and the format of instructional aids for coherence formation (2006) — 133 citations
• Supporting Coherence Formation in Learning from Multiple Representations (2003) — 448 citations