TY - CHAP
T1 - Student modeling by data mining
AU - Peña-Ayala, Alejandro
AU - Mizoguchi, Riichiro
PY - 2011
Y1 - 2011
N2 - This work pursues to find out patterns of characteristics and behaviors of students. Thus, it is presented an approach to mine repositories of student models (SM). The source information embraces students' personal information and assessment of the use of a Web-based educational system (WBES) by students. In addition, the repositories reveal a profile composed by personal attributes, cognitive skills, learning preferences, and personality traits of a sample of students. The approach mines such repositories and produces several clusters. One cluster represents volunteers who tend to abandon. Another group clusters people who fulfill their commitments. It is concluded that: educational data mining (EDM) produces some findings to depict students that could be considered for authoring content and sequencing teaching-learning experiences.
AB - This work pursues to find out patterns of characteristics and behaviors of students. Thus, it is presented an approach to mine repositories of student models (SM). The source information embraces students' personal information and assessment of the use of a Web-based educational system (WBES) by students. In addition, the repositories reveal a profile composed by personal attributes, cognitive skills, learning preferences, and personality traits of a sample of students. The approach mines such repositories and produces several clusters. One cluster represents volunteers who tend to abandon. Another group clusters people who fulfill their commitments. It is concluded that: educational data mining (EDM) produces some findings to depict students that could be considered for authoring content and sequencing teaching-learning experiences.
UR - http://www.scopus.com/inward/record.url?scp=79953189663&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-19953-0_21
DO - 10.1007/978-3-642-19953-0_21
M3 - Capítulo
AN - SCOPUS:79953189663
SN - 9783642199523
T3 - Studies in Computational Intelligence
SP - 207
EP - 216
BT - New Challenges for Intelligent Information and Database Systems
PB - Springer Verlag
ER -