Web-Based Bayesian Tutoring System

Author

Krudysz, Gregory A. ; Li, Jenfeng Sam ; McClellan, James H.

Author_Institution

Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA

fYear

2006

fDate

24-27 Sept. 2006

Firstpage

129

Lastpage

134

Abstract

A number of Bayesian toolkits have been developed to learn from data through statistical inference. These toolkits are increasingly being applied in intelligent tutoring systems (ITS) whose aim is to assist student learning. In this paper, we introduce a template for a Web-based Bayesian driven ITS, which organizes course material, tests student understanding, and evaluates student performance to suggest a further plan of study. In addition, we provide guidelines for constructing a knowledge domain that will include meaningful problems that test all concepts being learned

Keywords

belief networks; directed graphs; educational courses; intelligent tutoring systems; signal processing; statistical analysis; ITS; Signal Processing First course; Web-based Bayesian tutoring system; directed acyclic graph; intelligent tutoring systems; knowledge domain construction; statistical inference; student learning assistance; student performance evaluation; student understanding testing; Animation; Bayesian methods; Computer aided instruction; Computer science education; Databases; Humans; Intelligent systems; Learning systems; Materials testing; Signal processing; Bayesian Nets; Intelligent Tutoring System; Web-based Learning Tools;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Workshop, 12th - Signal Processing Education Workshop, 4th

Conference_Location

Teton National Park, WY

Print_ISBN

1-4244-3534-3

Electronic_ISBN

1-4244-0535-1

Type

conf

DOI

10.1109/DSPWS.2006.265452

Filename

4041045