DocumentCode
514969
Title
Notice of Retraction
A Stepwise Augment Algorithm for the Construction of Reduced Q-Matrix
Author
Wu Wenbing ; Chen Wenxiang ; Yang Shuqun
Author_Institution
Sch. of Inf. Sci. & Technol., Xiamen Univ., Xiamen, China
Volume
2
fYear
2010
fDate
6-7 March 2010
Firstpage
65
Lastpage
68
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Cognitive Diagnosis is more and more important for education and has been a research focus. Tatsuoka´s Q-matrix theory has been widely used in Cognitive Diagnosis, in which Reduced Q-matrix (Qr matrix) plays an important role. Two methods generate Qr matrix are considered. One is Tatsuoka´s method, another is augment algorithm. Based on augment algorithm, a stepwise augment algorithm is proposed. Considering the number of valid items, the stepwise augment algorithm is compared with Tatsuoka´s method and augment algorithm upon running time. Mathematical models with 8 attributes are built for the three algorithms by linear regression analysis.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Cognitive Diagnosis is more and more important for education and has been a research focus. Tatsuoka´s Q-matrix theory has been widely used in Cognitive Diagnosis, in which Reduced Q-matrix (Qr matrix) plays an important role. Two methods generate Qr matrix are considered. One is Tatsuoka´s method, another is augment algorithm. Based on augment algorithm, a stepwise augment algorithm is proposed. Considering the number of valid items, the stepwise augment algorithm is compared with Tatsuoka´s method and augment algorithm upon running time. Mathematical models with 8 attributes are built for the three algorithms by linear regression analysis.
Keywords
education; matrix algebra; regression analysis; Tatsuoka Q-matrix theory; cognitive diagnosis; education; linear regression analysis; mathematical model; reduced Q-matrix; stepwise augment algorithm; Algorithm design and analysis; Computer science; Computer science education; Educational institutions; Educational technology; Information science; Linear regression; Mathematical model; Software algorithms; Testing; Qr matrix; regression; stepwise augment algorithm; the number of valid items;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6388-6
Type
conf
DOI
10.1109/ETCS.2010.461
Filename
5460006
Link To Document