The eXtensible Tutor Architecture (XTA) was designed as a platform for creating and deploying many types of Intelligent Tutoring Systems across many different platforms. The XTA pr...
Goss Nuzzo-Jones, Jason A. Walonoski, Neil T. Heff...
Europe and the U.S. both face the challenges of urban schools with low-achieving adolescent learners, many of whom are not proficient in the language of instruction. This paper des...
We present an approach to designing intelligent tutoring systems, termed the Difficulty Factors Approach. In this approach, the designer investigates, at each iteration of the desi...
Ryan Shaun Joazeiro de Baker, Albert T. Corbett, K...
Rules have been showed to be appropriate representations to model tutoring and can be easily applied to intelligent tutoring systems. We applied a machine learning technique, Class...
Generative and evaluative approaches are two different ways of diagnosing students’ input that have been realized in a number of intelligent tutoring systems. We describe how Ac...