In this paper, we describe an agent architecture for supporting collaborative distance learning. At the core of the architecture lies an agent that analyzes knowledge sharing interactions by applying Hidden Markov Models and Multidimensional Scaling. We show how the agent was trained to assess sequences of coded online student interaction, and dynamically recognize (1) when students are having trouble learning the new concepts they share with each other, and (2) why they are having trouble. The results of this research are intended to assist an instructor or coaching agent in facilitating situations in which groups of users collaborate to share their knowledge
An Intelligent Agent Architecture for Facilitating Knowledge Sharing Communication
Soller, Amy Lynne;Busetta, Paolo
2003-01-01
Abstract
In this paper, we describe an agent architecture for supporting collaborative distance learning. At the core of the architecture lies an agent that analyzes knowledge sharing interactions by applying Hidden Markov Models and Multidimensional Scaling. We show how the agent was trained to assess sequences of coded online student interaction, and dynamically recognize (1) when students are having trouble learning the new concepts they share with each other, and (2) why they are having trouble. The results of this research are intended to assist an instructor or coaching agent in facilitating situations in which groups of users collaborate to share their knowledgeI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
