The power and potential of current ITS technology is described here by the designers and builders of major ITS projects. The book illustrates how, in less than a decade, the field of Intelligent Tutoring Systems has advanced from experimental systems in universities to systems that perform practical, real-world tasks.
Intelligent Tutoring Systems: Lessons Learned provides a first-hand, detailed account of how these systems were designed and built out of state-of-the-art technology. The essays build on the basic research foundations of the field and define the abilities and limitations of current knowledge.
With this critical volume, teachers and industrial trainers have a realistic view of the future of their professions, and students, researchers, and professionals in AI, education, cognitive science, and psychology have both an introduction to the field and a comprehensive reference.
Table of Contents
Contents: Maj. K.R. Rose, Foreword: What the Army Expects from Intelligent Training Systems. J. Psotka, L.D. Massey, S.A. Mutter, Introduction. Section I:Knowledge Acquisition. W.B. Johnson, Developing Expert System Knowledge Bases in Technical Training Environments. B. Means, S.P. Gott, Cognitive Task Analysis as a Basis for Tutor Development: Articulating Abstract Knowledge Representations. Y.J. Tenney, L.C. Kurland, The Development of Troubleshooting Expertise in Radar Mechanics. D. Kieras, What Mental Model Should be Taught: Choosing Instructional Content for Complex Engineered Systems. Section II:Intelligent Instructional Design. L.C. Kurland, Y.J. Tenney, Issues in Developing an Intelligent Tutor for a Real-World Domain: Training Radar Mechanics. P.L. Pirolli, J.G. Greeno, The Problem Space of Instructional Design. D.M. Russell, T.P. Moran, D.S. Jordan, The Instructional-Design Environment. S.A. MacMillan, D. Emme, M. Berkowitz, Instructional Planners: Lessons Learned. D.C. Wilkins, W.J. Clancey, B.G. Buchanan, Using and Evaluating Differential Modeling in Intelligent Tutoring and Apprentice Learning Systems. Section III:Knowledge Representation. F. Ritter, W. Feurzeig, Teaching Real-Time Tactical Thinking. T. Govindaraj, Intelligent Computer Aids for Fault Diagnosis Training of Expert Operators of Large Dynamic Systems. D.M. Russell, IDE: The Interpreter. J.R. Frederiksen, B.Y. White, A. Collins, G. Eggan, Intelligent Tutoring Systems for Electronic Troubleshooting. L.D. Massey, J. de Bruin, B. Roberts, A Training System for Radar Maintenance. Section IV:Intelligent Tutoring Architectures. J.G. Bonar, R. Cunningham, Bridge: Tutoring the Programming Process. W. Feurzeig, F. Ritter, Understanding Reflective Problem Solving. D. Frye, D.C. Littman, E. Soloway, The Next Wave of Problems in ITS: Confronting the "User Issues" of Interface Design and System Evaluation. D.M. Towne, A. Munro, The Intelligent Maintenance Training System.
"...interesting and of potential interest to a broad audience in AI...it provides an in-depth view of...current work in the field."
"Packed with descriptions of programs and practical experiences, the text serves as both an instructional device for students and a professional reference text for those already in the field."