DocumentCode
3078440
Title
Adaptive Non-graded Assessment Based on Knowledge Space Theory
Author
Yang Chen
Author_Institution
Lip6-MOCAH, Univ. Pierre & Marie Curie, Paris, France
fYear
2013
fDate
15-18 July 2013
Firstpage
63
Lastpage
64
Abstract
Knowledge Space Theory has been applied in adaptive non-graded assessment. Space-based approaches need a large amount of computer memory. We introduced a procedure dynamically computing the fringes of a knowledge state according to prerequisite relations between knowledge nodes. And we proposed an effective approach of using fringes of a knowledge state to generate the adaptive assessment path.
Keywords
education; adaptive assessment path generation; adaptive nongraded assessment; knowledge node relation; knowledge space theory; space-based approach; Adaptive systems; Computers; Conferences; Educational institutions; Memory management; Proposals; Training; Knowledge Space Theory; adaptive assessment; fringes;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1109/ICALT.2013.24
Filename
6601867
Link To Document