Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning

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Product Description

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

Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning Review

Is it possible to combine latest methods from the field of artificial intelligence & machine learning together with computer assisted teaching? Can computers make strong tutors and become really helpful in teaching and evaluating students? Are you a researcher trying to discover the main paradigms and problems of technology enhanced learning and specifically intelligent tutors? If you are curious about these topics then reading this book is definitely time well spent. It gives a very broad coverage of the technology-enhanced learning field from the perspective of building intelligent tutors.

The author provides an account of the field that is very well balanced among AI techniques / sub-fields (such as Natural Language Processing, Bayesian belief networks, reinforcement learning, decision trees), learning theories and applications that combine these. The typology of intelligent tutors are very systematic and clear. Every type of intelligent tutor is explained in detail using famous software examples from the field and they are compared, their strong points as well as their weaknesses are exposed.

As many systems with strong connections to technology, the field of intelligent tutors is a fast moving one and that is why one needs to read the latest published research to catch up with the latest developments. On the other hand having a resource that gives a broad and balanced coverage of the field and acts as a foundation to understand the fundamental concepts and challenges is important. I think the author filled an important gap in this field and recommend this book to anyone who thinks about investing time in the field of technology-enhanced learning and building intelligent digital tutoring systems.

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