Barry Gholson

Artificial Intelligence · 2002–2006

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

Subfields

• Artificial Intelligence — 13 citations into it; #23,545 of 35,345 by trust here, #13,163 by citations
• Experimental and Cognitive Psychology — 9 citations into it; #8,188 of 9,731 by trust here, #4,576 by citations
• Social Psychology — 8 citations into it
• Developmental and Educational Psychology — 7 citations into it; #5,759 of 8,223 by trust here, #3,615 by citations
• Education — 6 citations into it

Whom Barry Gholson trusts overall

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

1. Richard E. Mayer
2. Roxana Moreno
3. A. Graesser
4. James Russell

Who trusts Barry Gholson overall

1. S. D’Mello
2. A. Graesser
3. John Sweller

Papers from Barry Gholson's perspective

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

1. An affective model of interplay between emotions and learning: reengineering educational pedagogy-building a learning companion (Proceedings IEEE International Conference on Advanced Learning Technologies)
2. AutoTutor: A tutor with dialogue in natural language (Behavoir research methods, instruments & computers)
3. Turning “play” into “work” and “work” into “play”: 25 Years of research on intrinsic versus extrinsic motivation
4. Grounding adaptive language games in robotic agents (AAAI Conference on Artificial Intelligence)
5. A coherence effect in multimedia learning: The case for minimizing irrelevant sounds in the design of multimedia instructional messages.
6. The Case for Social Agency in Computer-Based Teaching: Do Students Learn More Deeply When They Interact With Animated Pedagogical Agents?
7. Animated Pedagogical Agents: Face-to-Face Interaction in Interactive Learning Environments
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. Affect and learning: An exploratory look into the role of affect in learning with AutoTutor
10. Probabilistic assessment of user's emotions in educational games (Applied Artificial Intelligence)

Their papers

• Detection of Emotions during Learning with AutoTutor (2006) — 150 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