Name
Abstract | ||
|---|---|---|
In this paper we present a logic formalization of amodel which allows us to represent, create and maintaina Learner Model for CSCL environments in a clear andadequate manner, in order to use it as the set of beliefs anagent holds about its user, supporting the effectivecollaboration between the learners in the community. Ourmodel includes a representation method for theknowledge domain and the agent's beliefs about thelearner, as well as an inference system. This systemallows the agent to propose the learner adequate learningtasks, considering his own interest and possibilities andthose of the other members of the community through theestablishment of group-based Zones of ProximalDevelopment. The model is formalized in Answer SetsProgramming, which gives an appropriate framework fordealing with non-monotonicity in disjunctive logicprograms with negation. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ENC.2003.1232889 | ENC |
Keywords | Field | DocType |
learner model,appropriate framework,inference system,clear andadequate manner,cscl environments,learner adequate learningtasks,logic formalization,answer setsprogramming,group-based zones,disjunctive logicprograms,cscl environment,beliefs anagent,collaborative software,software agents,answer set programming,logic programming,intelligent systems,zone of proximal development,intelligent agent,collaboration | Intelligent agent,Negation,Intelligent decision support system,Collaborative software,Computer science,Software agent,Theoretical computer science,Artificial intelligence,Logic programming,Machine learning,Inference system | Conference |
ISBN | Citations | PageRank |
0-7695-1915-6 | 4 | 0.72 |
References | Authors | |
13 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Magdalena Ortiz | 1 | 656 | 50.09 |
| Gerardo Ayala | 2 | 20 | 3.47 |
| Mauricio Osorio | 3 | 436 | 52.82 |