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Abstract:
Studies of human tutoring have argued the importance of conversation between the student and the tutor in making tutoring interactions successful, suggesting that intelligent tutoring systems will be more effective if they can engage in dialogues with students. Although building highly interactive dialogue-based systems presents a wide range of new computational challenges, recent advances in computational linguistics have made it possible to make significant strides towards the development of dialogue-based tutors in both educational and industrial settings. The goal of this symposium is to discuss the design, implementation and evaluation of dialogue-based intelligent tutoring systems (ITSs), their components, and related studies involving human tutors. This symposium is the first its kind, bringing together researchers from the wide range of academic backgrounds that contribute to this rich interdisciplinary pursuit.