TY - GEN
T1 - ILMDA
T2 - 2005 IEEE International Conference on Electro Information Technology
AU - Soh, Leen Kiat
AU - Blank, Todd
AU - Miller, L. D.
AU - Person, Suzette
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33947186659&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33947186659&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33947186659
SN - 0780392329
SN - 9780780392328
T3 - 2005 IEEE International Conference on Electro Information Technology
BT - 2005 IEEE International Conference on Electro Information Technology
Y2 - 22 May 2005 through 25 May 2005
ER -