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- Kurt VanLehn, Collin Lynch, +6 authors Mary Wintersgill
- I. J. Artificial Intelligence in Education
- 2005

The Andes system is a mature intelligent tutoring system that has helped hundreds of students improve their learning of university physics. It replaces pencil and paper problem solving homework. Students continue to attend the same lectures, labs and recitations. Five years of experimentation at the United States Naval Academy indicates that it… (More)

- Kurt VanLehn, Collin Lynch, +6 authors Mary Wintersgill
- AIED
- 2005

Andes is a mature intelligent tutoring system that has helped hundreds of students improve their learning of university physics. It replaces pencil and paper problem solving homework. Students continue to attend the same lectures, labs and recitations. Five years of experimentation at the United States Naval Academy indicates that it significantly improves… (More)

- Warren B. Powell, Joel A. Shapiro, Hugo P. Simão
- Transportation Science
- 2002

- Warren B. Powell, Joel A. Shapiro, Hugo P. Simão
- Annals OR
- 2001

To help a student in an introductory physics course do quantitative homework problems, an intelligent tutoring system must determine information of an algebraic nature. This paper describes a subsystem which resolves such questions for Andes2. The capabilities of the subsystem would be useful for any ITS which deals with problems involving complex systems… (More)

- Chun Wai Liew, Joel A. Shapiro, Donald E. Smith
- FLAIRS Conference
- 2004

This paper describes our continuing work on enabling a tutor to evaluate algebraic solutions to word problems in physics. Current tutoring systems require students to explicitly define each variable that is used in the algebraic equations. We have developed a constraint propagation based heuristic algorithm that finds the possible dimensions and physics… (More)

- Chun Wai Liew, Joel A. Shapiro, Donald E. Smith
- FLAIRS Conference
- 1999

One of the key components of an Intelligent Tutoring System (ITS) is the mechanism for reasoning about the student's input. This component affects the kinds of questions that can be asked, which in turn affects both the kinds of lesson material supported and the success of the ITS itself. It affects how precisely the system can pinpoint student errors and… (More)

- Chun Wai Liew, Joel A. Shapiro, Donald E. Smith
- International Journal on Artificial Intelligence…
- 2005

This paper describes work on methods that evaluate algebraic solutions to word problems in physics. Many current tutoring systems rely on substantial scaffolding and consequently require students to completely describe every variable used in the solution. A heuristic, based on constraint propagation, capable of inferring the description of variables (i.e.,… (More)

- Joel A. Shapiro, Warren B. Powell
- INFORMS Journal on Computing
- 2006

T his paper addresses the solution of large, complex resource allocation problems, examples of which include large freight transportation companies and supply chain management. Some instances of these problems involve millions of constraints and tens of millions of variables. Classical formulations focus on modeling the physical problem alone. In this… (More)