In recent years, learner models have emerged from the research laboratory and research
classrooms into the wider world. Learner models are now embedded in real world …

Bayesian networks (BN) provide a convenient and intuitive framework for specifying
complex joint probability distributions and are thus well suited for modeling content domains …

The evaluation of interactive adaptive systems has long been acknowledged to be a
complicated and demanding endeavour. Some promising approaches in the recent past …

Adaptive LMS have not yet reached the eLearning marketplace due to methodological,
technological and management open issues. At aDeNu group, we have been working on …

In this paper, we present a blended e-learning experience consisting of supplying an
undergraduate student population (in addition to traditional on-site classes) with a learning …

Adaptive systems refer to autonomous interactive systems that adjust their behavior and
functionality to environmental changes. In e-learning context, adaptive e-learning systems …

This article describes the evolution and current state of the domain-independent Siette
assessment environment. Siette supports different assessment methods—including classical …

The Computerized Adaptive Tests (CAT) are common tools for the diagnosis process in
Intelligent Tutor System based on Competency education (ITS-C). The item selection …

Testing is the most generic and perhaps most widely used mechanism for student
assessment. Most tests are based on the classical test theory, which says that a student's …

Many computer systems implement different methods for the estimation of students' skills
and adapt the generated exercises depending on such skills. Knowledge Spaces (KS) is a …