Abstract: This paper is focused on user modeling and adaptation in distributed ELearning systems. We describe here CUMULATE, a generic student modeling server developed for a distr...
Peter Brusilovsky, Sergey A. Sosnovsky, Olena Shch...
Abstract. The study reported in this paper explores the effects of providing web users with link suggestions that are relevant to their tasks. Results indicate that link suggestion...
Abundance of user contributions does not necessarily indicate sustainability of an online community. On the contrary, excessive contributions in the systems may result in “inform...
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
The accuracy of a user model usually depends on the amount and quality of information available on the user’s states of interest. An eye-tracker provides data detailing where a u...
Cristina Conati, Christina Merten, Kasia Muldner, ...