Artificial Intelligence And Learning Environments (special Issues Of Artificial Intelligence)
by William J. Clancey /
1990 / English / PDF
11.3 MB Download
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.William
J. Clancey is Senior Research Scientist at the Institute for
Research on Learning, Palo Alto. Elliot Soloway is Associate
Professor at the University of Michigan.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.
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.William
J. Clancey is Senior Research Scientist at the Institute for
Research on Learning, Palo Alto. Elliot Soloway is Associate
Professor at the University of Michigan.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.
