Abstract | ||
---|---|---|
This research examines the application of perception-based reasoning methods [11],[12] to the problem of training. In particular, focus is on how to determine the reason for a learner failing to complete a task. Importantly, the aim is to be able to identify areas of knowledge that are linked to task failure in some specified way, such as missing knowledge and misconceptions. The term cognitive diagnosis is used to refer to the process by which blame for task failure can be assigned, and Zadeh's computational theory of perception is adopted as the basis for the diagnostic capability. |
Year | Venue | Keywords |
---|---|---|
2004 | FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS | computer aided learning,knowledge representation,model based reasoning,generalized constraint based reasoning |
Field | DocType | Volume |
Knowledge representation and reasoning,Computer science,Computer aided learning,Cognitive diagnosis,Cognitive analysis,Blame,Model-based reasoning,Artificial intelligence,Perception,Machine learning,Theory of computation | Conference | 110 |
ISSN | Citations | PageRank |
0922-6389 | 0 | 0.34 |
References | Authors | |
9 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Antoaneta Serguieva | 1 | 23 | 5.05 |
Tariq M. Khan | 2 | 18 | 3.58 |