When implementing a tutoring system that attempts a deep understanding of students’ natural language explanations, there are three basic approaches to choose between; symbolic, i...
While human tutors typically interact with students using spoken dialogue, most computer dialogue tutors are text-based. We have conducted two experiments comparing typed and spoke...
Tactical Language Training System helps learners acquire basic communicative skills in foreign languages and cultures. Learners practice their communication skills in a simulated v...
W. Lewis Johnson, Carole R. Beal, Anna Fowles-Wink...
In this paper, we make a first effort to define requirements for knowledge representation (KR) in an ITS. The requirements concern all stages of an ITS’s life cycle (construction...
This work presents a model for student knowledge diagnosis that can be used in ITSs for student model update. The diagnosis is accomplished through Computerized Adaptive Testing (C...
Abstract. Betty’s Brain is a teachable agent system in the domain of river ecosystems that combines learning by teaching and self-regulation strategies to promote deep learning a...
Emotions play an important role in cognitive processes and specially in learning tasks. Moreover, there are some evidences that the emotional state of the learner correlated with h...
Most of the prior descriptions of the important relationships in Intelligent Tutoring System (ITS) projects have focused on the relationships involved in their use in classrooms, ...
Ryan Shaun Baker, Angela Z. Wagner, Albert T. Corb...
Recent research has indicated that misuse of intelligent tutoring software is correlated with substantially lower learning. Students who frequently engage in behavior termed “gam...
Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Ko...