Name
Title | ||
|---|---|---|
Improving the scope of intelligent tutoring by adapting a case-based methodology through a distributed architecture |
Abstract | ||
|---|---|---|
This paper describes an architecture for distributed case-based tutoring, called DICABTU, which provides an environment that facilitates cooperation among independent agents working together to provide highly individualized instruction. The fusion of these agents through a blackboard platform creates a distributed learning environment in which the most competent agents are called up to assist a student during a tutoring session. Following a curriculum derived from a node-based knowledge network, case-based reasoning is used to compose lessons at various levels of knowledge, to generate teaching materials, and to solve problems. |
Year | DOI | Venue |
|---|---|---|
1994 | 10.1080/08839519408945451 | APPLIED ARTIFICIAL INTELLIGENCE |
Keywords | Field | DocType |
case base reasoning,knowledge base,teaching,system architecture,reasoning,distributed architecture | Architecture,Software engineering,Intelligent tutoring system,Computer science,Knowledge management,Distributed learning,Curriculum,Artificial intelligence,Individualized instruction,Knowledge base,Systems architecture,Machine learning | Journal |
Volume | Issue | ISSN |
8 | 3 | 0883-9514 |
Citations | PageRank | References |
2 | 0.41 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan E. Vargas | 1 | 6 | 2.46 |
| Chang Jin Kee | 2 | 2 | 0.41 |