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Cognitive Approaches To Automated Instruction (Paperback)
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Cognitive Approaches To Automated Instruction (Paperback)
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Useful to researchers as well as practitioners looking for guidance
on designing automated instruction systems, this book provides a
snapshot of the state-of-the-art in this research area. In so
doing, it focuses on the two critical problems: first, diagnosis of
the student's current level of understanding or performance; and
second, selection of the appropriate intervention that will
transition the student toward expert performance. Containing a
comprehensive set of principled approaches to automated
instruction, diagnosis, and remediation, it is the first volume on
the topic to provide specific, detailed guidance on how to develop
these systems. Leading researchers and practitioners represented in
this book address the following questions in each chapter: * What
is your approach to cognitive diagnosis for automated instruction?
* What is the theoretical basis of your approach? * What data
support the utility of the approach? * What is the range of
applicability of your approach? * What knowledge engineering or
task analysis methods are required to support your approach?
Referring to automated instruction as instruction that is delivered
on any microprocessor-based system, the contributors to -- and
editors of -- this book believe that is it possible for automated
instructional systems to be more effective than they currently are.
Specifically, they argue that by using artificial intelligence
programming techniques, it is possible for automated instructional
systems to emulate the desirable properties of human tutors in
one-on-one instruction.
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