We have developed and evaluated an affect-sensitive version of AutoTutor, a dialogue based ITS that simulates human tutors. While the original AutoTutor is sensitive to learners’...
Sidney K. D'Mello, Blair Lehman, Jeremiah Sullins,...
In examine the tutoring protocols of one expert human tutor tutoring 10 students in solving physics problems, four analyses reveal that he tutored the five good learners in differe...
We study how student behaviors associated with engagement differ across different school settings. We present a study to investigate the variation in gaming the system and off-task...
Ma. Mercedes T. Rodrigo, Ryan Shaun Joazeiro de Ba...
Pedagogical tutorial tactics are policies for a tutor to decide the next action when there are multiple actions available. When the contents were controlled so as to be the same, l...
The ability to argue is essential in many aspects of life, but traditional face-to-face tutoring approaches do not scale up well. A solution for this dilemma may be computer-suppor...
Frank Loll, Oliver Scheuer, Bruce M. McLaren, Niel...
This study attempted to determine if it is possible to create an automatic affect detector using a combination of semantic and keystroke data. While the resulting models attained d...
This paper explores automatically detecting student zoning out while performing a spoken learning task. Standard supervised machine learning techniques were used to create classiï¬...
As online discussion boards become a popular medium for collaborative problem solving, we would like to understand patterns of group interactions that lead to collaborative learnin...
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...