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Dive into the research topics where Anders Weinstein is active.

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Featured researches published by Anders Weinstein.


intelligent tutoring systems | 2002

Minimally Invasive Tutoring of Complex Physics Problem Solving

Kurt VanLehn; Collin Lynch; Linwood Taylor; Anders Weinstein; Robert Shelby; Kay G. Schulze; Donald Treacy; Mary C. Wintersgill

Solving complex physics problems requires some kind of knowledge for selecting appropriate applications of physics principles. This knowledge is tacit, in that it is not explicitly taught in textbooks, existing tutoring systems or anywhere else. Experts seem to have acquired it via implicit learning and may not be aware of it. Andes is a coach for physics problem solving that has had good evaluations, but still does not teach complex problem solving as well as we would like. The conventional ITS approach to increasing its effectiveness requires teaching the tacit knowledge explicitly, and yet this would cause Andes to be more invasive. In particular, the textbooks and instructors would have to make space in an already packed curriculum for teaching the tacit knowledge. This paper discusses our attempts to teach the tacit knowledge without making Andes more invasive.


intelligent tutoring systems | 2004

Implicit versus explicit learning of strategies in a non-procedural cognitive skill

Kurt VanLehn; Dumiszewe Bhembe; Min Chi; Collin Lynch; Kay G. Schulze; Robert Shelby; Linwood Taylor; Donald Treacy; Anders Weinstein; Mary C. Wintersgill

University physics is typical of many cognitive skills in that there is no standard procedure for solving problems, and yet a few students still master the skill. This suggests that their learning of problem solving strategies is implicit, and that an effective tutoring system need not teach problem solving strategies as explicitly as model-tracing tutors do. In order to compare implicit vs. explicit learning of problem solving strategies, we developed two physics tutoring systems, Andes and Pyrenees. Pyrenees is a model-tracing tutor that teaches a problem solving strategy explicitly, whereas Andes uses a novel pedagogy, developed over many years of use in the field, that provides virtually no explicit strategic instruction. Preliminary results from an experiment comparing the two systems are reported.


artificial intelligence in education | 2005

The Andes Physics Tutoring System: Lessons Learned

Kurt VanLehn; Collin Lynch; Kay G. Schulze; Joel A. Shapiro; Robert Shelby; Linwood Taylor; Donald Treacy; Anders Weinstein; Mary C. Wintersgill


Archive | 2000

Interactive Conceptual Tutoring in Atlas-Andes

Carolyn P. Ros; Reva h-eedman; Pamela W. Jordan; Michael A. Ringenberg; Antonio Roque; Kay G. Schulze; Stephanie Siler; Donald Treacy; Kurt VanLehn; Anders Weinstein


artificial intelligence in education | 2005

The Andes Physics Tutoring System: Five Years of Evaluations

Kurt VanLehn; Collin Lynch; Kay G. Schulze; Joel A. Shapiro; Robert Shelby; Linwood Taylor; Donald Treacy; Anders Weinstein; Mary C. Wintersgill


intelligent tutoring systems | 2000

Fading and Deepening: The Next Steps for Andes and other Model-Tracing Tutors

Kurt VanLehn; Reva Freedman; Pamela W. Jordan; R. Charles Murray; Remus Osan; Michael A. Ringenberg; Carolyn Penstein Rosé; Kay G. Schulze; Robert Shelby; Donald Treacy; Anders Weinstein; Mary C. Wintersgill


international conference on user modeling, adaptation, and personalization | 2007

What's in a Step? Toward General, Abstract Representations of Tutoring System Log Data

Kurt VanLehn; Kenneth R. Koedinger; Alida Skogsholm; Adaeze Nwaigwe; Robert G.M. Hausmann; Anders Weinstein; Benjamin Billings


2001 Physics Education Research Conference Proceedings | 2001

An Assessment of the Andes Tutor

Robert Shelby; Kay G. Schulze; Donald Treacy; Mary C. Wintersgill; Kurt VanLehn; Anders Weinstein


artificial intelligence in education | 2007

Exploring Alternative Methods for Error Attribution in Learning Curves Analysis in Intelligent Tutoring Systems

Adaeze Nwaigwe; Kenneth R. Koedinger; Kurt VanLehn; Robert G.M. Hausmann; Anders Weinstein


Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2004

Implicit Versus Explicit Learning of Strategies in a Non-procedural Cognitive Skill

Kurt VanLehn; Dumiszewe Bhembe; Min Chi; Collin Lynch; Kay G. Schulze; Robert Shelby; Linwood Taylor; Don Treacy; Anders Weinstein; Mary C. Wintersgill

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Kurt VanLehn

Arizona State University

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Kay G. Schulze

United States Naval Academy

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Donald Treacy

United States Naval Academy

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Robert Shelby

United States Naval Academy

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Collin Lynch

North Carolina State University

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Linwood Taylor

University of Pittsburgh

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Adaeze Nwaigwe

Carnegie Mellon University

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