DocumentCode
2119641
Title
Validation of Course Prerequisites Based on Student Grade Using Fuzzy Association Rules
Author
Hwang, Chein-Shung ; Yu, Ping ; Su, Yi-Ching ; Tseng, Kuo-Cheng
Author_Institution
Dept. of Inf. Manage., Chinese Culture Univ., Taipei, Taiwan
fYear
2009
fDate
20-22 Sept. 2009
Firstpage
1
Lastpage
3
Abstract
One of the most valued approaches for identifying and assigning course prerequisites relies on statistical techniques. We propose a new statistical approach for validating prerequisites based on fuzzy association rules. Fuzzy association rules provide strong tools for mining quantitative data and representing dependencies between data. An experiment based on real student data from our department is conducted and some findings are reported.
Keywords
data mining; educational administrative data processing; educational courses; fuzzy set theory; statistical analysis; course prerequisite validation; fuzzy association rule; statistical technique; student grade; Association rules; Data mining; Engines; Fuzzy sets; History; Information management; Itemsets; Predictive models; Recommender systems; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4638-4
Electronic_ISBN
978-1-4244-4639-1
Type
conf
DOI
10.1109/ICMSS.2009.5302781
Filename
5302781
Link To Document