A Modeling Method Based on Bayesian Networks in Intelligent Tutoring System

Author

Liu, Zhi ; Wang, Haiquan

Author_Institution

Zhejiang Univ. of Technol., Hangzhou

fYear

2007

fDate

26-28 April 2007

Firstpage

967

Lastpage

972

Abstract

In the Intelligent Tutoring System (ITS), how to assess a student and provide a student with the proper tutoring in the learning process is an important problem. In order to get the student´s situation, many assessing methods based on student model have been proposed. In this paper, an overlay student model based on Bayesian networks is presented. This student model built on knowledge relationships with prediction ability is discussed in details. Based on this model, an assessing method based on Logistic model with three parameters is provided to evaluate student´s performance. A case study in Data Structure course is illustrated in this paper.

Keywords

belief networks; computer science education; data structures; educational courses; intelligent tutoring systems; user modelling; Bayesian networks; assessing method; data structure course; intelligent tutoring system; knowledge relationships; learning process; logistic model; modeling method; prediction ability; student model; Artificial intelligence; Bayesian methods; Data structures; Intelligent networks; Intelligent systems; Logistics; Parameter estimation; Power system modeling; Predictive models; Probability distribution; Assessment; Bayesian network; Student model;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Supported Cooperative Work in Design, 2007. CSCWD 2007. 11th International Conference on

Conference_Location

Melbourne, Vic.

Print_ISBN

1-4244-0963-2

Electronic_ISBN

1-4244-0963-2

Type

conf

DOI

10.1109/CSCWD.2007.4281569

Filename

4281569