Making computer tutors more like humans
Journal of Artificial Intelligence in Education
Using a Reactive Planner as the Basis for a Dialogue Agent
Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference
Eye movements and algebra tutoring
Eye movements and algebra tutoring
Intelligent tutoring systems have forgotten the tutor: adding a cognitive model of human tutors
Intelligent tutoring systems have forgotten the tutor: adding a cognitive model of human tutors
A comparison of tutor and student behavior in speech versus text based tutoring
HLT-NAACL-EDUC '03 Proceedings of the HLT-NAACL 03 workshop on Building educational applications using natural language processing - Volume 2
Assessing the Impact of Positive Feedback in Constraint-Based Tutors
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Comparing Classroom Problem-Solving with No Feedback to Web-Based Homework Assistance
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
A Comparison of Model-Tracing and Constraint-Based Intelligent Tutoring Paradigms
International Journal of Artificial Intelligence in Education
An Evaluation of a Hybrid Language Understanding Approach for Robust Selection of Tutoring Goals
International Journal of Artificial Intelligence in Education
Spoken Versus Typed Human and Computer Dialogue Tutoring
International Journal of Artificial Intelligence in Education
Responding to Student Uncertainty in Spoken Tutorial Dialogue Systems
International Journal of Artificial Intelligence in Education
Generating Responses to Formally Flawed Problem-Solving Statements
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
VL-PATSy: Facilitating vicarious learning via intelligent resource provision
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Artificial Intelligence in Medicine
An intelligent tutoring system for visual classification problem solving
Artificial Intelligence in Medicine
Elaborating the context of interactions in a tutorial dialog
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Domain-specific knowledge representation and inference engine for an intelligent tutoring system
Knowledge-Based Systems
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Symbolization is the ability to translate a real world situation into the language of algebra. We believe that symbolization is the single most important skill students learn in high school algebra. We present research on what makes this skill difficult and report the discovery of a "hidden" skill in symbolization. Contrary to past research that has emphasized that symbolization is difficult due to both comprehension difficulties and the abstract nature of variables, we found that symbolization is difficult because it is the articulation in the "foreign" language of "algebra". We also present Ms. Lindquist, an Intelligent Tutoring System (ITS) designed to carry on a tutorial dialog about symbolization. Ms. Lindquist has a separate tutorial model encoding pedagogical content knowledge in the form of different tutorial strategies, which were partially developed by observing an experienced human tutor. We discuss aspects of this human tutor's method that can be modeled well by Ms. Lindquist. Finally, we present an early formative showing that students can learn from the dialogs Ms. Lindquist is able to engage student in. Ms. Lindquist has tutored over 600 students at www.AlgebraTutor.org.