Conference Proceedings

Light-weight agents for E-learning environments

K Chan, L Sterling

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics | SPRINGER-VERLAG BERLIN | Published : 2003

Abstract

Web-based delivery of educational courses is becoming increasingly common. There is great scope for light-weight AI methods in enhancing web-based education. We describe the design, prototype implementation and use of QuizHelper, a system of light-weight agents that provides feedback to students taking online quizzes. We discuss AgentSquare, the framework used to build QuizHelper. AgentSquare supports adding agent intelligence to websites.

University of Melbourne Researchers