The intelligent tutoring system AutoTutor uses latent semantic analysis to evaluate student answers to the tutor's questions. By comparing a student's answer to a set of...
Xiangen Hu, Zhiqiang Cai, Max M. Louwerse, Andrew ...
The Tutoring Research Group at the University of Memphis is developing an intelligent tutoring system which takes advantages of recent technological advances in the areas of semant...
Peter M. Wiemer-Hastings, Arthur C. Graesser, Dere...
Understanding answers to open-ended explanation questions is important in intelligent tutoring systems. Existing systems use natural language techniques in essay analysis, but rev...
Myroslava Dzikovska, Gwendolyn E. Campbell, Charle...
We discuss the affective aspects of tutoring dialogues in an ITS -called INES- that helps students to practice nursing tasks using a haptic device and a virtual environment. Specia...
Dirk Heylen, Maarten Vissers, Rieks op den Akker, ...
The main purpose of this work is to develop an intelligent tutor system coupled to a robotics virtual laboratory, in order to offer a tutored virtual learning environment. The stu...