Building Intelligent Interactive Tutors

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Language: Anglais
Cover of the book Building Intelligent Interactive Tutors

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468 p. · 19x24 cm · Paperback

Computers have transformed every facet of our culture, most dramatically communication, transportation, finance, science, and the economy. Yet their impact has not been generally felt in education due to lack of hardware, teacher training, and sophisticated software. Another reason is that current instructional software is neither truly responsive to student needs nor flexible enough to emulate teaching. The more instructional software can reason about its own teaching process, know what it is teaching, and which method to use for teaching, the greater is its impact on education.

Building Intelligent Interactive Tutors discusses educational systems that assess a student's knowledge and are adaptive to a student's learning needs. Dr. Woolf taps into 20 years of research on intelligent tutors to bring designers and developers a broad range of issues and methods that produce the best intelligent learning environments possible, whether for classroom or life-long learning. The book describes multidisciplinary approaches to using computers for teaching, reports on research, development, and real-world experiences, and discusses intelligent tutors, web-based learning systems, adaptive learning systems, intelligent agents and intelligent multimedia.



  • Combines both theory and practice to offer most in-depth and up-to-date treatment of intelligent tutoring systems available
  • Presents powerful drivers of virtual teaching systems, including cognitive science, artificial intelligence, and the Internet
  • Features algorithmic material that enables programmers and researchers to design building components and intelligent systems
PART I: INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND EDUCATION
1. Introduction
2. Features

PART II: REPRESENTATION, REASONING AND ASSESSMENT
3. Student Knowledge
4. Tutoring Knowledge
5. Communication Knowledge
6. Evaluation of Tutors

PART III: TECHNOLOGIES AND ENVIRONMENTS
7. Machine Learning
8. Inquiry and Collaboration Tutors
9. Web-based Tutors
10. Future view