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Dive into the research topics where David J. McArthur is active.

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Featured researches published by David J. McArthur.


international joint conference on artificial intelligence | 1983

Strategies of cooperation in distributed problem solving

Stephanie J. Cammarata; David J. McArthur; Randall Steeb

Distributed Artificial Intelligence is concerned with problem solving in which groups solve tasks. In this paper we describe strategies of cooperation that groups require to solve shared tasks effectively. We discuss such strategies in the context of a specific group problem solving application: collision avoidance in air traffic control. Experimental findings with four distinct air-traffic control systems, each implementing a different cooperative strategy, are mentioned.


Instructional Science | 1988

Skill-oriented task sequencing in an intelligent tutor for basic algebra

David J. McArthur; Cathy Stasz; John Y. Hotta; Orli Peter; Christopher Burdorf

As part of a project to develop an intelligent computer tutor for basic algebra, we have been investigating task sequencing. In this paper we present an approach to task sequencing that is based on a component-skills view of intelligence and learning. We postulate that tutors use inferences about past and present student performance to determine a current skill set that will be the new target for learning. The skill set is then used as a basis for generating tasks that should elicit those skills. Current skill sets are modified slowly over time so that lessons appear coherent and well-planned. We first describe the approach at a general level, where it can be viewed as a cognitive model of human task sequencing. Then we discuss the implementation of the model in our intelligent algebra tutoring system.


Journal of Educational Technology Systems | 1987

Learning Problem-Solving Skills in Algebra

David J. McArthur; Cathleen Stasz; John Y. Hotta

In this article we describe aspects of our intelligent tutor for basic algebra. A main goal of the project is to develop a computer tutoring system whose skills and knowledge approximate those of a high-quality human tutor. We are particularly interested in exploring novel learning opportunities that can be made available to students for the first time by exploiting the reactive capabilities of such intelligent tutors. In this context, we focus here on the role of an algebra expert system embedded in the tutor. We discuss how it can be used to help students learn several nontraditional types of skill and knowledge in the context of algebra, including goal-directed reasoning skills, and debugging techniques.


Cognition and Instruction | 1990

Tutoring Techniques in Algebra

David J. McArthur; Cathleen Stasz; Mary Zmuidzinas


Journal on Educational Technology | 2005

The roles of artificial intelligence in education : current progress and future prospects

David J. McArthur; Matthew W. Lewis; Miriam Bishary


Archive | 1990

Teaching and Learning Generic Skills for the Workplace

Cathy Stasz; David J. McArthur; Matthew W. Lewis; Kimberly Ramsey


Archive | 1998

Untangling the Web: Applications of the Internet and Other Information Technologies to Higher Learning

David J. McArthur; Matthew W. Lewis


international joint conference on artificial intelligence | 1981

An object-oriented language for constructing simulations

David J. McArthur; Henry Sowizral


international joint conference on artificial intelligence | 1981

AUTOPILOT: a distributed planner for air fleet control

Perry W. Thorndyke; David J. McArthur; Stephanie J. Cammarata


national conference on artificial intelligence | 1982

A framework for distributed problem solving

David J. McArthur; Randall Steeb; Stephanie J. Cammarata

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