Authoring problem-solving ITS with ASTUS

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Abstract

Step-based ITS have been proven successful for well-defined domains, particularly in well-defined tasks, but their success is mitigated by their cost. Typically, the main factor behind the cost is the efforts needed to model 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). © 2010 Springer-Verlag.

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Lebeau, J. F., Paquette, L., & Mayers, A. (2010). Authoring problem-solving ITS with ASTUS. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6095 LNCS, p. 450). https://doi.org/10.1007/978-3-642-13437-1_107

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