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Intelligent Tutoring Systems: Lessons Learned
 
 
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Intelligent Tutoring Systems: Lessons Learned [Paperback]

Joseph Psotka (Editor), L. Dan Massey (Editor), Sharon A. Mutter (Editor)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

0805801928 978-0805801927 May 3, 1988
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.

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Editorial Reviews

Review

...interesting and of potential interest to a broad audience in AI...it provides an in-depth view of...current work in the field.
Artificial Intelligence

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.
SIGART Newsletter


Product Details

  • Paperback: 576 pages
  • Publisher: Psychology Press (May 3, 1988)
  • Language: English
  • ISBN-10: 0805801928
  • ISBN-13: 978-0805801927
  • Product Dimensions: 9 x 6.2 x 1.2 inches
  • Shipping Weight: 1.7 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #3,184,979 in Books (See Top 100 in Books)

More About the Author

I was born in Serbia during the second world war (actually it was Yugoslavia at the time but has changed its name several times since ...) and narrowly missed staying there forever. For most of my life I have been a psychologist of sorts, with more than a passing interest in computers and their power to augment or supercede our intelligence. My thesis in 1975 dealt with a powerful theory of statistical induction as the basis of human thought and I have been working to understand it for most of my career, with too little success. I was surprised when I discovered only recently that it was a very special case of a much broader statistical technology that is being implemented in a new class of computers based on memristors for neural computing. This may well transform computing if it succeeds and replace digital computing. It appears to have much in common with holographic computing as well, and may help us better understand how simple physical objects can become intelligent. What a shame that I didn't understand this better 35 years ago ...

 

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5.0 out of 5 stars My review, December 10, 2011
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