act intelligently is to endow them with the ability to understand the behaviors of other agents (human or artificial) in their environment. Intelligent tutoring systems (ITSs) are the ultimate example of this challenge: their goal is to provide instruction personalized to the specific needs of each learner, as good human tutors do. But understanding these needs can be extremely hard, because it...

This paper introduces t-OLM, an open learner model to investigate user trust in a range of learner model externalisations. It was found that, while sufficient levels of use were made to suggest user trust in an externalised learner model, the relationship between trust and perceived utility, perceived accuracy, and level of understanding of the model representations, is not straightforward.

In this paper we propose the role of pedagogical agents as social models. We first framed our arguments in social cognitive perspectives and supported them with findings from several experimental studies we have conducted. In the studies, we found that learners perceived their agents socially and that the agents’ social presence influenced the learner’s cognitive and affective characteristics. ...

In this paper, we propose to integrate the self esteem component within learning process. The goal was to introduce a new strategy to enhance learner self esteem while interacting with a tutoring system. This approach is based on a subliminal, non consciously perceived, self esteem conditioning priming method. We conducted an experimental study to measure the effect of this strategy on particip...

Bayesian modeling can be used for providing adaptation in an on-line questionnaire. In our research, adaptation means selecting the questions presented to the user in such a way that the total amount of answers required for profiling the user is minimized. In the article, we present the motivation to use Bayesian modeling as a basis for the adaptation and introduce our adaptive on-line question...