Intelligence And Learning
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Artificial Intelligence and Learning Environments
These essays explore cognitively oriented empirical trials that use AI programming as a modeling methodology and that can provide valuable insight into a variety of learning problems. New perspectives and techniques are shaping the field of computer-aided instruction. These essays explore cognitively oriented empirical trials that use AI programming as a modeling methodology and that can provide valuable insight into a variety of learning problems. Drawing on work in cognitive theory, plan-based program recognition, qualitative reasoning, and cognitive models of learning and teaching, this exciting research covers a wide range of alternatives to tutoring dialogues. Contents Artificial Intelligence and Learning Environments, William J. Clancey, Elliot Soloway * Cognitive Modeling and Intelligence Tutoring, John R. Anderson, C. Franklin Boyle, Albert T. Corbett, Matthew W. Lewis * Understanding and Debugging Novice Programs, W. Lewis Johnson * Causal Model Progressions as a Foundation for Intelligent Learning Environments, Barbara Y. White and John R. Frederiksen
Education As the Cultivation of Intelligence
The book argues that the intellectual abilities that are crucial to modern life correspond to the cognitive functions that are reasonably called intelligence. These intellectual abilities are learnable and we have the knowledge to teach them directly.
Artificial Intelligence in Education
The nature of technology has changed since Artificial Intelligence in Education (AIED) was conceptualized as a research community and Interactive Learning Environments were initially developed.