Vincent A. W. M. M. Aleven

Developmental and Educational Psychology · 2000–2019

A researcher in the Science corpus: 10 papers; trusts 30 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

• Developmental and Educational Psychology — 51 citations into it; #284 of 8,223 by trust here, #356 by citations
• Artificial Intelligence — 41 citations into it; #3,432 of 35,345 by trust here, #4,747 by citations
• Experimental and Cognitive Psychology — 28 citations into it; #1,206 of 9,731 by trust here, #2,504 by citations
• Education — 23 citations into it
• Computer Science Applications — 19 citations into it; #63 of 1,855 by trust here, #90 by citations
• Social Psychology — 13 citations into it
• Human-Computer Interaction — 7 citations into it

Whom Vincent A. W. M. M. Aleven trusts overall

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

1. Michelene T. H. Chi
2. K. Koedinger
3. Albert T. Corbett
4. Alexander Renkl
5. Kurt VanLehn
6. John R. Anderson
7. Richard E. Mayer
8. Henry Lieberman
9. Ryan Shaun Joazeiro de Baker
10. B. Zimmerman

Who trusts Vincent A. W. M. M. Aleven overall

1. K. Koedinger
2. Roger Azevedo
3. Paul Denny
4. S. D’Mello
5. Tamara van Gog
6. Peter Gerjets
7. A. Graesser
8. Michelene T. H. Chi
9. Saiying Steenbergen-Hu
10. Matthew L. Bernacki

Papers from Vincent A. W. M. M. Aleven's perspective

Ordered by how strongly the researchers Vincent A. W. M. M. Aleven trusts endorse each paper. Same corpus, a different order for every researcher.

1. Self-Explonations: How Students Study and Use Examples in Learning to Solve Problems
2. Categorization and Representation of Physics Problems by Experts and Novices
3. Knowledge tracing: Modeling the acquisition of procedural knowledge (User modeling and user-adapted interaction)
4. An effective metacognitive strategy: learning by doing and explaining with a computer-based Cognitive Tutor
5. Toward Computer-Based Support of Meta-Cognitive Skills: a Computational Framework to Coach Self-Explanation
6. Multimedia Learning: The Promise of Multimedia Learning
7. Limitations of Student Control: Do Students Know When They Need Help? (International Conference on Intelligent Tutoring Systems)
8. Toward Meta-cognitive Tutoring: A Model of Help Seeking with a Cognitive Tutor (International Journal of Artificial Intelligence in Education)
9. Structuring the Transition From Example Study to Problem Solving in Cognitive Skill Acquisition: A Cognitive Load Perspective
10. Human Problem Solving.

Their papers

• Co-Designing a Real-Time Classroom Orchestration Tool to Support Teacher-AI Complementarity (2019) — 365 citations
• Examining self-efficacy during learning: variability and relations to behavior, performance, and learning (2015) — 168 citations
• Accounting for Beneficial Effects of Worked Examples in Tutored Problem Solving (2010) — 104 citations
• A New Paradigm for Intelligent Tutoring Systems: Example-Tracing Tutors (2009) — 348 citations
• More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing (2008) — 514 citations
• Exploring the Assistance Dilemma in Experiments with Cognitive Tutors (2007) — 630 citations
• Toward Meta-cognitive Tutoring: A Model of Help Seeking with a Cognitive Tutor (2006) — 467 citations
• Help Seeking and Help Design in Interactive Learning Environments (2003) — 602 citations
• An effective metacognitive strategy: learning by doing and explaining with a computer-based Cognitive Tutor (2002) — 991 citations
• Limitations of Student Control: Do Students Know When They Need Help? (2000) — 354 citations