Knowledge-Based Major Choosing Decision Making for Remote Students

Author

Zhou, Qing ; Yu, Fang

Author_Institution

Software Res. Inst., Sun Yat-sen Univ., Guangzhou

Volume

5

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

474

Lastpage

478

Abstract

In this paper, we propose an auto-decision system KMCD, which helps remote students choose their majors. The system is based on knowledge of students who want to choose majors and students who have finished their studies. KMCD is a first-order reasoning system equipped with an uncertain reasoning function. A description of KMCD is given in details. The whole decision procedure is comprehensively discussed, which shows the effectiveness and the reasonableness of the system. Examples in the paper illustrate how KMCD can help remote students make their decisions in major-choosing.

Keywords

decision making; distance learning; inference mechanisms; knowledge based systems; KMCD; auto-decision system; first-order reasoning system; knowledge-based major choosing decision making; remote students; uncertain reasoning function; Computer science; Computer science education; Databases; Decision making; Distance learning; Educational institutions; Software engineering; Sun; decision making; distance education; first-order logic; knowledge-based system; major choosing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.379

Filename

4722942