Some researchers have developed relevant and diverse proposals for improving the content quality of the learner model in Intelligent Tutoring Systems, mainly reducing its uncertainty. Following this aim, this paper proposes an open learner modeling approach using Bayesian networks, focusing on negotiation mechanism to solve detected cognitive conflicts that can emerge when the learner inspects ...

Learners are assessed by several systems during their lifelong learning. Those systems can maintain fragments of information about a learner derived from his learning performance and/or assessment in that particular system. Customization services would perform better if they would be able to exchange as many relevant fragments of information about the learner as possible. This paper presents th...

Evidence of the strong relationship between learning and emotion has fueled recent work in modeling affective states in intelligent tutoring systems. Many of these models are based on general models of affect without a specific focus on learner emotions. This paper presents work that investigates the benefits of using theoretical models of learner emotions to guide the development of Bayesian n...

The concept of user modeling, and more specifically learner modeling, has been known for quite a long time, but its implementation into language learning systems is still rather uncommon. The current work proposes to extend an existing experimental language learning platform with user modeling capabilities in order to offer a more personalized experience to the different users.

This paper explores different methods for interpreting the results of multiple, cascading machine learners, each of which performs a different task. For instance, the first learner may classify news as “sports,” the second learner may extract the people from the sports articles, and the third learner may classify the extracted people as belonging to a certain team. We present a framework for mo...

The design of learner models that are open to the student’s perusal is challenging, because a variety of competing objectives must be reconciled: comprehensiveness versus comprehensibility, and student control versus model validity. This paper suggests one approach to meeting the challenge that begins by identifying three dimensions of transparency in learner models. These provide a framework i...

The Friend of a Friend (FOAF) ontology is a vocabulary for mapping social networks. In this paper we propose an extension to FOAF in order to allow it to model learners and their social networks. We analyse FOAF alongside different learner modeling standards and specifications, and based on this analysis we introduce a taxonomy of the different features found in those models. We then compare th...

This paper describes a method for learner modelling for use within simulation-based learning environments. The goal of the learner modelling system is to provide the learner with advice on discovery learning. The system analyzes the evidence that a learner has generated for a specific hypothesis, assesses whether the learner needs support on the discovery process, and the nature of that support...

Learner preferences of students have been analysed within two modules that have been given in the department of media using Röll’s learner preference model. A qualitative analysis of the results of an online learner preference test based on this model has been conducted. This analysis showed that for the majority of the students the revealed results were valid. Starting from current methods use...