A New Filtering Model Towards an Intelligent Guide Agent

May 2004

Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2004)

Volume

Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2004)

All Papers

In E-learning systems, where both helpers (tutors) and learners are separated geographically, finding a reliable helper is one of the most important challenges. Although helpers could have a lot of useful information about courses to be taught, many learners fail to understand their presentations. A major part of this paper deals with the following challenges: do helpers have information that the learners need? Will helpers present information so that learners can understand? And can we guarantee that these helpers will collaborate effectively with learners? A new technique is filtering according to helpers’ credibilities. We define ”credibility” as the dependability degree of the learners on the information presented by helpers during a learning session. We propose a guide agent, based on the pyramid model, which can group helpers. This makes it possible to recommend reliable ones. Furthermore, we developed a new statistical metric called Precision Probability Value. We have used this metric to measure statistical accuracies rather than the mean absolute error.