A fuzzy evaluation method about facing distant intelligent test

Author

Meiyu, Zhang ; Rongrong, Jiang

Author_Institution

Coll. of Software Eng., Zhejiang Univ. of Technol., Hangzhou, China

fYear

2009

fDate

25-28 July 2009

Firstpage

154

Lastpage

157

Abstract

The platform of intelligent test is one of the core content for modern distant education system. The reasonable evaluation of intelligence test is the key technology for the embodiment of excellence in intelligent test platform. In this paper, in order to more accurately analyze and evaluate the students´ distance learning behavior, process and achievement, we design a remote intelligent test platform, and on this basis propose a score-assessment method based on fuzzy mathematics. Utilizing fuzzy inference in uncertainty reasoning, we assign the score membership function, then the original score had been standardized and weighted disposal for a more comprehensive reasoning of intelligent evaluation.

Keywords

behavioural sciences computing; distance learning; fuzzy set theory; inference mechanisms; distant education system; distant intelligent test; fuzzy evaluation method; fuzzy inference; fuzzy mathematics; remote intelligent test platform; score membership function; score-assessment method; students distance learning behavior; uncertainty reasoning; Automatic testing; Computer science; Computer science education; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Mathematics; System testing; Systems engineering education; Uncertainty; fuzzy mathematics; intelligent test; reasoning; score-assessment;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education, 2009. ICCSE '09. 4th International Conference on

Conference_Location

Nanning

Print_ISBN

978-1-4244-3520-3

Electronic_ISBN

978-1-4244-3521-0

Type

conf

DOI

10.1109/ICCSE.2009.5228503

Filename

5228503