Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/39963
Title: Targeting the right students using data mining
Authors: Ma, Y. 
Liu, B. 
Wong, C.K. 
Yu, P.S.
Lee, S.M.
Keywords: Data mining application in education
Scoring
Target selection
Issue Date: 2000
Source: Ma, Y.,Liu, B.,Wong, C.K.,Yu, P.S.,Lee, S.M. (2000). Targeting the right students using data mining. Proceeding of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining : 457-464. ScholarBank@NUS Repository.
Abstract: The education domain offers a fertile ground for many interesting and challenging data mining applications. These applications can help both educators and students, and improve the quality of education. In this paper, we present a real-life application for the Gifted Education Programme (GEP) of the Ministry of Education (MOE) in Singapore. The application involves many data mining tasks. This paper focuses only on one task, namely, selecting students for remedial classes. Traditionally, a cut-off mark for each subject is used to select the weak students. That is, those students whose scores in a subject fall below the cut-off mark for the subject are advised to take further classes in the subject. In this paper, we show that this traditional method requires too many students to take part in the remedial classes. This not only increases the teaching load of the teachers, but also gives unnecessary burdens to students, which is particularly undesirable in our case because the GEP students are generally taking more subjects than non-GEP students, and the GEP students are encouraged to have more time to explore advanced topics. With the help of data mining, we are able to select the targeted students much more precisely.
Source Title: Proceeding of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
URI: http://scholarbank.nus.edu.sg/handle/10635/39963
ISBN: 1581132336
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

83
checked on Dec 9, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.