TY - GEN
T1 - Automating the modeling of learners' erroneous behaviors in model-tracing tutors
AU - Paquette, Luc
AU - Lebeau, Jean François
AU - Mayers, André
PY - 2012/7/13
Y1 - 2012/7/13
N2 - Modeling learners is a fundamental part of intelligent tutoring systems. It allows tutors to provide personalized feedback and to assess the learners' mastery over a task domain. One aspect often overlooked is the modeling of erroneous behaviors that can be used to provide error specific feedback. This is especially true for model-tracing tutors that usually require erroneous procedural knowledge associated to each of the possible error. This process can be automated thanks to a task independent model describing the learners' erroneous behaviors. The model proposed in this paper is inspired by the Sierra theory of procedural error and is developed for ASTUS, an authoring framework for model-tracing tutors.
AB - Modeling learners is a fundamental part of intelligent tutoring systems. It allows tutors to provide personalized feedback and to assess the learners' mastery over a task domain. One aspect often overlooked is the modeling of erroneous behaviors that can be used to provide error specific feedback. This is especially true for model-tracing tutors that usually require erroneous procedural knowledge associated to each of the possible error. This process can be automated thanks to a task independent model describing the learners' erroneous behaviors. The model proposed in this paper is inspired by the Sierra theory of procedural error and is developed for ASTUS, an authoring framework for model-tracing tutors.
KW - Erroneous behaviors
KW - learner modeling
KW - model-tracing tutors
UR - http://www.scopus.com/inward/record.url?scp=84863622588&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863622588&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-31454-4_28
DO - 10.1007/978-3-642-31454-4_28
M3 - Conference contribution
AN - SCOPUS:84863622588
SN - 9783642314537
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 316
EP - 321
BT - User Modeling, Adaptation, and Personalization - 20th International Conference, UMAP 2012, Proceedings
T2 - 20th International Conference on User Modeling, Adaptation and Personalization, UMAP 2012
Y2 - 16 July 2012 through 20 July 2012
ER -