Intelligent tutoring systems: lessons learned

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.

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-…