Title :
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
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;
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
DOI :
10.1109/ICCSE.2009.5228503
