dc.contributor.author |
Hill, R. Jr. |
en_US |
dc.contributor.author |
Johnson, W. |
en_US |
dc.date.accessioned |
2004-10-04T22:33:14Z |
|
dc.date.available |
2004-10-04T22:33:14Z |
|
dc.date.issued |
1994-07-31 |
en_US |
dc.identifier.citation |
National Conference on Artificial Intelligence |
en_US |
dc.identifier.citation |
Seattle, Washington, USA |
en_US |
dc.identifier.clearanceno |
94-0168 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/2014/32429 |
|
dc.description.abstract |
Plan recognition and agent modeling techniques are potentially useful for intelligent tutoring, but are difficult to employ in practice. |
en_US |
dc.format.extent |
1060359 bytes |
|
dc.format.mimetype |
application/pdf |
|
dc.language.iso |
en_US |
|
dc.subject.other |
computer-aided education plan recognition cognitive modeling |
en_US |
dc.title |
Situated Plan Attribution for Intelligent Tutoring |
en_US |