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 :
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