Intelligent Agents for Distance Learning

Distance learning involves a lot of work of human assistants. These assistants need to be connected for answering student doubts and questions. Intelligent agents can do part of this work. However a problem appears with this promised possibility: how to connect educational applications with these agents. This paper presents a solution to this problem, in which both the capture of student’s intentions and agent intervention for helping students are specified. These two design points are defined as connection points. Student intentions define situations in which agents might help. Agent interventions define the context in which agent might assist and the type of help that might give.