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FLAIRS
2003
13 years 5 months ago
Minimal Text Structuring to Improve the Generation of Feedback in Intelligent Tutoring Systems
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 ...
Susan M. Haller, Barbara Di Eugenio
AIEDU
2008
112views more  AIEDU 2008»
13 years 2 months ago
Be Brief, And They Shall Learn: Generating Concise Language Feedback for a Computer Tutor
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...
AIED
2005
Springer
13 years 10 months ago
Natural Language Generation for Intelligent Tutoring Systems: a case study
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 ...
CHI
2000
ACM
13 years 8 months ago
Instructional interventions in computer-based tutoring: differential impact on learning time and accuracy
We can reliably build “second generation” intelligent computer tutors that are approximately half as effective as human tutors. This paper evaluates two interface enhancements...
Albert T. Corbett, Holly J. Trask
ASSETS
2000
ACM
13 years 8 months ago
An intelligent tutoring system for deaf learners of written English
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....