TY - GEN
T1 - Beyond knowledge tracing
T2 - 12th International Conference on Intelligent Tutoring Systems, ITS 2014
AU - Käser, Tanja
AU - Klingler, Severin
AU - Schwing, Alexander Gerhard
AU - Gross, Markus
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Modeling and predicting student knowledge is a fundamental task of an intelligent tutoring system. A popular approach for student modeling is Bayesian Knowledge Tracing (BKT). BKT models, however, lack the ability to describe the hierarchy and relationships between the different skills of a learning domain. In this work, we therefore aim at increasing the representational power of the student model by employing dynamic Bayesian networks that are able to represent such skill topologies. To ensure model interpretability, we constrain the parameter space. We evaluate the performance of our models on five large-scale data sets of different learning domains such as mathematics, spelling learning and physics, and demonstrate that our approach outperforms BKT in prediction accuracy on unseen data across all learning domains.
AB - Modeling and predicting student knowledge is a fundamental task of an intelligent tutoring system. A popular approach for student modeling is Bayesian Knowledge Tracing (BKT). BKT models, however, lack the ability to describe the hierarchy and relationships between the different skills of a learning domain. In this work, we therefore aim at increasing the representational power of the student model by employing dynamic Bayesian networks that are able to represent such skill topologies. To ensure model interpretability, we constrain the parameter space. We evaluate the performance of our models on five large-scale data sets of different learning domains such as mathematics, spelling learning and physics, and demonstrate that our approach outperforms BKT in prediction accuracy on unseen data across all learning domains.
KW - Bayesian networks
KW - Knowledge Tracing
KW - constrained optimization
KW - parameter learning
KW - prediction
UR - http://www.scopus.com/inward/record.url?scp=84958543517&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958543517&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-07221-0_23
DO - 10.1007/978-3-319-07221-0_23
M3 - Conference contribution
AN - SCOPUS:84958543517
SN - 9783319072203
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 188
EP - 198
BT - Intelligent Tutoring Systems - 12th International Conference, ITS 2014, Proceedings
PB - Springer
Y2 - 5 June 2014 through 9 June 2014
ER -