ILMDA: An intelligent learning materials delivery agent and simulation

Leen Kiat Soh, Todd Blank, L. D. Miller, Suzette Person

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

In this paper, we describe an intelligent agent that delivers learning materials adoptively to different students, factoring in the usage history of the learning materials, the student static background profile, and the student dynamic activity profile. Our assumption is that through the interaction of a student going through a learning material (i.e., a topical tutorial, a set of examples, and a set of problems), an agent will be able to capture and utilize the student's activity as the primer to select the appropriate example or problem to administer to the student. In addition, our agent monitors the usage history of the learning materials and derives empirical observations that improve its performance. We have built an end-to-end infrastructure, with a GUI front-end, an agent powered by case-based reasoning, and a multi-database backend. Preliminary experiments based on a comprehensive simulator show the feasibility, correctness, and learning capability of our methodology and system.

Original languageEnglish (US)
Title of host publication2005 IEEE International Conference on Electro Information Technology
StatePublished - 2005
Event2005 IEEE International Conference on Electro Information Technology - Lincoln, NE, United States
Duration: May 22 2005May 25 2005

Publication series

Name2005 IEEE International Conference on Electro Information Technology
Volume2005

Conference

Conference2005 IEEE International Conference on Electro Information Technology
Country/TerritoryUnited States
CityLincoln, NE
Period5/22/055/25/05

ASJC Scopus subject areas

  • Engineering(all)

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