Explor@ Advisory Agent: Tracing the Student's Trail.
Karin Lundgren-Cayrol, Gilbert Paquette, Alexis Miara, Frédéric Bergeron, Jacques Rivard, Ioan Calin Rosca · WebNet · 2001
This paper presents research and development of an adaptive web-based system called Explor@ Advisory Agent capable of tailoring advice to the individual student’s needs, actions and reactions towards pedagogical events as well as according to diagnosis of content acquisition. Explor@ Advisory Agent consists of two sub-systems, the Advice Editor and the Student Advisor. The Editor allows course designers to enter the instructional structure as well as the content structure in form of a hierarchical tree, tagging corresponding pages, as well as entering rules (conditions and operations) for how and when advice are to appear. The Student Advisor displays the student’s progression through the two structures by indicating what is achieved or completed. The system traces the student’s progression according to knowledge acquisition through questions, questionnaires and results on test, and according to how the student navigates through the instructional material. In this manner, the student modeling relies on both the overlay and diagnostic modeling techniques. Future research aims at introducing peer or team collaboration and assistance by allowing the agent to match learners’ progress by displaying the progression bars, if the learner chooses to participate.