Name
Abstract | ||
|---|---|---|
This paper suggests the combination of cognitive and structural modelling as a formal framework for intelligent learning systems. It takes up the distinction between declarative (conceptual) and procedural (action) knowledge in the sense of ACT-R. Additionally, prerequisite relations between skills of a domain are captured according to Competence-based Knowledge Space Theory. Benefits, drawbacks, and TEL applications of the outlined modelling approaches are discussed. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICALT.2007.94 | Niigata |
Keywords | Field | DocType |
cognition,learning (artificial intelligence),cognitive structural modelling,knowledge space theory,technology-enhanced learning | Learning sciences,Computer science,Learning theory,Knowledge management,Cognitive model,Cognition,Knowledge space theory | Conference |
ISBN | Citations | PageRank |
0-7695-2916-X | 3 | 0.45 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dietrich Albert | 1 | 430 | 63.65 |
| Cord Hockemeyer | 2 | 94 | 17.89 |
| Birgit Mayer | 3 | 3 | 0.45 |
| Christina M. Steiner | 4 | 83 | 14.93 |