Kurt VanLehn

Developmental and Educational Psychology · 1990–2012

A researcher in the Science corpus: 13 papers; trusts 29 researchers and is trusted by 61 researchers here, as inferred from the citation graph.

Subfields

• Developmental and Educational Psychology — 40 citations into it; #1,434 of 8,223 by trust here, #668 by citations
• Artificial Intelligence — 36 citations into it; #2,670 of 35,345 by trust here, #4,298 by citations
• Education — 17 citations into it; #11,141 of 11,309 by trust here, #5,825 by citations
• Computer Science Applications — 10 citations into it; #214 of 1,855 by trust here, #548 by citations
• Experimental and Cognitive Psychology — 10 citations into it; #9,571 of 9,731 by trust here, #5,729 by citations
• Natural Language Processing — 5 citations into it

Whom Kurt VanLehn trusts overall

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

1. Michelene T. H. Chi
2. A. Graesser
3. Alexander Renkl
4. H. Cooper
5. Cristina Conati
6. Stephanie Siler
7. Vincent A. W. M. M. Aleven
8. John R. Anderson
9. Randi A. Engle
10. Judea Pearl

Who trusts Kurt VanLehn overall

1. W. L. Johnson
2. S. D’Mello
3. Michelene T. H. Chi
4. A. Graesser
5. K. Koedinger
6. Benjamin D. Nye
7. Vincent A. W. M. M. Aleven
8. Richard E. Mayer
9. Saiying Steenbergen-Hu
10. J. Kulik

Papers from Kurt VanLehn's perspective

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

1. Eliciting Self-Explanations Improves Understanding
2. Learning from human tutoring (Cognitive Sciences)
3. Self-Explonations: How Students Study and Use Examples in Learning to Solve Problems
4. Worked-out examples: instructional explanations support learning by self- explanations
5. Mind in society: The development of higher psychological processes. L. S. Vygotsky.
6. Toward Computer-Based Support of Meta-Cognitive Skills: a Computational Framework to Coach Self-Explanation
7. Categorization and Representation of Physics Problems by Experts and Novices
8. Knowledge tracing: Modeling the acquisition of procedural knowledge (User modeling and user-adapted interaction)
9. Book Reviews: Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
10. SERT: Self-Explanation Reading Training

Their papers

• Seeing Deep Structure From the Interactions of Surface Features (2012) — 224 citations
• The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems (2011) — 2,067 citations
• When Are Tutorial Dialogues More Effective Than Reading? (2007) — 461 citations
• The Behavior of Tutoring Systems (2006) — 905 citations
• The Andes Physics Tutoring System: Lessons Learned (2005) — 627 citations
• Scaffolding Deep Comprehension Strategies Through Point&Query, AutoTutor, and iSTART (2005) — 328 citations
• Why Do Only Some Events Cause Learning During Human Tutoring? (2003) — 466 citations
• Using Bayesian Networks to Manage Uncertainty in Student Modeling (2002) — 572 citations
• A comparative evaluation of socratic versus didactic tutoring (2001) — 107 citations
• Intelligent Tutoring Systems with Conversational Dialogue (2001) — 460 citations
• Toward Computer-Based Support of Meta-Cognitive Skills: a Computational Framework to Coach Self-Explanation (2000) — 310 citations
• The Content of Physics Self-Explanations (1991)
• Explanation-Based Learning of Correctness: Towards a Model of the Self-Explanation Effect (1990)