Title :
Teaching analysis based on association rule mining
Author :
Chen Weiyu ; JiaNan
Author_Institution :
Beijing Wuzi University, China
Abstract :
Association rule in data mining could found interesting link between a large amounts of data set. Using the improved Apriori algorithm on analyzing the grades of students´ course, which revealed the relationship and influence on learning effect during each chapter, distinguish the key factors that affect their achievement. After that we can conclude valuable information to provide guidance for improving teaching and learning effectiveness.
Keywords :
Bismuth; Education; Algorithm; Association Rule; Improved Apriori; Teaching Analysis;
Conference_Titel :
Conference Anthology, IEEE
Conference_Location :
China
DOI :
10.1109/ANTHOLOGY.2013.6784997