Recent research has indicated that misuse of intelligent tutoring software is correlated with substantially lower learning. Students who frequently engage in behavior termed “gam...
Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Ko...
Building a generalizable detector of student behavior within intelligent tutoring systems presents two challenges: transferring between different cohorts of students (who may devel...
Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Ko...
We describe pedagogical and student modeling based on past student interactions with a tutoring system. We model student effort with an integrated view of student behaviors (e.g. t...
Ivon Arroyo, Hasmik Meheranian, Beverly Park Woolf
This paper describes two affect-sensitive variants of an existing intelligent tutoring system called AutoTutor. The new versions of AutoTutor detect learners' boredom, confusi...
Sidney K. D'Mello, Scotty D. Craig, Karl Fike, Art...
Tutoring systems are described as having two loops. The outer loop executes once for each task, where a task usually consists of solving a complex, multi-step problem. The inner lo...