TY - GEN
T1 - Temporal data mining for educational applications
AU - Beal, Carole R.
AU - Cohen, Paul R.
PY - 2008
Y1 - 2008
N2 - Intelligent tutoring systems (ITSs) acquire rich data about studentsÖ behavior during learning; data mining techniques can help to describe, interpret and predict student behavior, and to evaluate progress in relation to learning outcomes. This paper surveys a variety of data mining techniques for analyzing how students interact with ITSs, including methods for handling hidden state variables, and for testing hypotheses. To illustrate these methods we draw on data from two ITSs for math instruction. Educational datasets provide new challenges to the data mining community, including inducing action patterns, designing distance metrics, and inferring unobservable states associated with learning.
AB - Intelligent tutoring systems (ITSs) acquire rich data about studentsÖ behavior during learning; data mining techniques can help to describe, interpret and predict student behavior, and to evaluate progress in relation to learning outcomes. This paper surveys a variety of data mining techniques for analyzing how students interact with ITSs, including methods for handling hidden state variables, and for testing hypotheses. To illustrate these methods we draw on data from two ITSs for math instruction. Educational datasets provide new challenges to the data mining community, including inducing action patterns, designing distance metrics, and inferring unobservable states associated with learning.
UR - http://www.scopus.com/inward/record.url?scp=58349093203&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=58349093203&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-89197-0_10
DO - 10.1007/978-3-540-89197-0_10
M3 - Conference contribution
AN - SCOPUS:58349093203
SN - 354089196X
SN - 9783540891963
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 66
EP - 77
BT - PRICAI 2008
T2 - 10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008
Y2 - 15 December 2008 through 19 December 2008
ER -