Scotty D. Craig

Artificial Intelligence · 2002–2012

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #20,571 of 35,345 by trust here, #11,072 by citations
• Experimental and Cognitive Psychology — 17 citations into it; #8,187 of 9,731 by trust here, #4,576 by citations
• Developmental and Educational Psychology — 16 citations into it; #4,612 of 8,223 by trust here, #2,393 by citations
• Social Psychology — 12 citations into it
• Cognitive Neuroscience — 11 citations into it; #7,686 of 10,852 by trust here, #5,990 by citations
• Education — 6 citations into it

Whom Scotty D. Craig trusts overall

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

1. Richard E. Mayer
2. Roxana Moreno
3. James Russell
4. A. Graesser
5. Rosalind W. Picard
6. T. Landauer
7. W. L. Johnson
8. Roger Azevedo
9. Roger C. Schank
10. Paul Ekman

Who trusts Scotty D. Craig overall

1. S. D’Mello
2. A. Graesser
3. John Sweller
4. Liping Shen
5. Reinhard Pekrun
6. Ton de Jong
7. Richard E. Mayer
8. Slava Kalyuga
9. Roxana Moreno
10. Pieter Wouters

Papers from Scotty D. Craig's perspective

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

1. An effective metacognitive strategy: learning by doing and explaining with a computer-based Cognitive Tutor
2. An affective model of interplay between emotions and learning: reengineering educational pedagogy-building a learning companion (Proceedings IEEE International Conference on Advanced Learning Technologies)
3. AutoTutor: A tutor with dialogue in natural language (Behavoir research methods, instruments & computers)
4. Does training on self-regulated learning facilitate students' learning with hypermedia?
5. Animated Pedagogical Agents: Face-to-Face Interaction in Interactive Learning Environments
6. A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge.
7. The Case for Social Agency in Computer-Based Teaching: Do Students Learn More Deeply When They Interact With Animated Pedagogical Agents?
8. How does one know whether a person understands a device? The quality of the questions the person asks when the device breaks down.
9. Automated Posture Analysis for Detecting Learner's Interest Level (2003 Conference on Computer Vision and Pattern Recognition Workshop)
10. Core affect and the psychological construction of emotion. (Psychology Review)

Their papers

• Causal Learning (2012)
• Automatic detection of learner’s affect from conversational cues (2008) — 370 citations
• Affect and learning: An exploratory look into the role of affect in learning with AutoTutor (2004) — 691 citations
• Animated Pedagogical Agents in Multimedia Educational Environments: Effects of Agent Properties, Picture Features, and Redundancy (2002) — 454 citations