DocumentCode :
578435
Title :
Proposing a recommender system through mining English reading comprehension errors of engineering students
Author :
Tsai, Yea-ru ; Chang, Yu-kon ; Ouyang, Chen-sen
Author_Institution :
Dept. of Appl. English, I-Shou Univ., Kaohsiung, Taiwan
Volume :
4
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
1571
Lastpage :
1575
Abstract :
This paper presents a sentence reading recommender system through mining engineering students´ English reading comprehension error patterns. Students were first trained to analyze sentences in the steps of Cumulative Sentence Analysis (CSA). The errors produced by the students during their reading process were used as the database for data mining. The results of data mining showed that distinctive error patterns and association rules were identified for different groups of students. Based on the association rules of the error patterns, suitable sentences for the students to practice were recommended.
Keywords :
computer aided instruction; data mining; database management systems; engineering education; natural language processing; recommender systems; CSA; English reading comprehension error pattern mining; association rules; cumulative sentence analysis; database; e-learning systems; engineering students; sentence reading recommender system; Abstracts; Data mining; Databases; Recommender systems; Association rules; Cumulative Sentence Analysis (CSA); Data mining; Engineering students; English reading comprehension;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2160-133X
Print_ISBN :
978-1-4673-1484-8
Type :
conf
DOI :
10.1109/ICMLC.2012.6359599
Filename :
6359599
Link To Document :
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