TY - GEN
T1 - Authoring step-based ITS with ASTUS
T2 - 15th International Conference on Artificial Intelligence in Education, AIED 2011
AU - Lebeau, Jean François
AU - Paquette, Luc
AU - Mayers, André
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - Step-based ITS have been proven successful for well-defined domains, particularly in well-defined tasks, but their success is mitigated by the amount of effort needed to build them. Typically, the main factor behind these efforts is the model of the task domain. Different approaches have been investigated to reduce these efforts: Model-Tracing Tutors (e.g. Cognitive Tutors, Andes), Constraint-Based Tutors (e.g. SQL-Tutor, ASPIRE) and Example-Tracing Tutors (e.g. CTAT's, ASSISTment).
AB - Step-based ITS have been proven successful for well-defined domains, particularly in well-defined tasks, but their success is mitigated by the amount of effort needed to build them. Typically, the main factor behind these efforts is the model of the task domain. Different approaches have been investigated to reduce these efforts: Model-Tracing Tutors (e.g. Cognitive Tutors, Andes), Constraint-Based Tutors (e.g. SQL-Tutor, ASPIRE) and Example-Tracing Tutors (e.g. CTAT's, ASSISTment).
UR - http://www.scopus.com/inward/record.url?scp=79959304422&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79959304422&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21869-9_123
DO - 10.1007/978-3-642-21869-9_123
M3 - Conference contribution
AN - SCOPUS:79959304422
SN - 9783642218682
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 622
BT - Artificial Intelligence in Education - 15th International Conference, AIED 2011
Y2 - 28 June 2011 through 1 July 2011
ER -