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 ...
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...
To investigate whether Natural Language feedback improves learning, we developed two different feedback generation engines, that we systematically evaluated in a three way comparis...
Barbara Di Eugenio, Davide Fossati, Dan Yu, Susan ...
We can reliably build “second generation” intelligent computer tutors that are approximately half as effective as human tutors. This paper evaluates two interface enhancements...
This paper describes progress toward a prototype implementation of a tool which aims to improve literacy in deaf high school and college students who are native (or near native) s...
Lisa N. Michaud, Kathleen F. McCoy, Christopher A....