To investigate whether more concise Natural Language feedback improves learning, we developed two Natural Language generators (DIAG-NLP1 and DIAG-NLP2), to provide feedback in an I...
Barbara Di Eugenio, Davide Fossati, Susan M. Halle...
When dealing with large, distributed systems that use state-of-the-art components, individual components are usually developed in parallel. As development continues, the decouplin...
Arno Hartholt, Thomas Russ, David R. Traum, Eduard...
The difficulty of domain knowledge acquisition is one of the most sensible challenges of intelligent tutoring systems. Relying on domain experts and building domain models from sc...
We present BEETLE II, a tutorial dialogue system designed to accept unrestricted language input and support experimentation with different tutorial planning and dialogue strategie...
Myroslava Dzikovska, Johanna D. Moore, Natalie B. ...
The goal of our work is to improve the Natural Language feedback provided by Intelligent Tutoring Systems. In this paper, we discuss how to make the content presented by one such ...