DeepTutor: Towards macro- and micro-adaptive conversational intelligent tutoring at scale
Abstract
We present an overview of the design of a conversational intelligent tutoring system, called DeepTutor, based on the framework of Learning Progressions. Learning Progressions capture students' successful paths towards mastery. The assumption of the proposed tutor is that by guiding instruction based on Learning Progressions, the system will be more effective (and efficient for that matter).
Publication Title
L@S 2014 - Proceedings of the 1st ACM Conference on Learning at Scale
Recommended Citation
Rus, V., Stefanescu, D., Niraula, N., & Graesser, A. (2014). DeepTutor: Towards macro- and micro-adaptive conversational intelligent tutoring at scale. L@S 2014 - Proceedings of the 1st ACM Conference on Learning at Scale, 209-210. https://doi.org/10.1145/2556325.2567885
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