An intelligent tutoring system for learning basic statistics, called Stat-Knowlab, is presented
and analyzed. The algorithms implemented in the system are based on the competence …

The skill-based extension of the theory of knowledge structures forms the framework for
addressing the problem of whether it is possible to uniquely assess the skills underlying the …

The design of test Q matrix can directly influence the classification accuracy of a cognitive
diagnostic assessment. In this paper, we focus on Q matrix design when attribute hierarchies …

The gain–loss model (GaLoM) is a formal model for assessing knowledge and learning. In
its original formulation, the GaLoM assumes independence among the skills. Such an …

The work deals with the assessment of the set of skills an individual has available in a
certain disciplinary domain (which is called the competence state) from the responses of this …

Instructional assessment and learning paths are essential for improving students' learning
effectiveness. This paper explores enhancing learners' learning efficiency and quality from …

Recent literature has pointed out that the basic local independence model (BLIM) when
applied to some specific instances of knowledge structures presents identifiability issues …

The success of serious games usually depends on their capabilities to engage learners and
to provide them with personalized gaming and learning experiences. Therefore, it is …

In knowledge space theory, existing adaptive assessment procedures can only be applied
when suitable estimates of their parameters are available. In this paper, an iterative …

Building intelligent tutoring systems (ITSs) that are aware of the students' misconceptions
has been one of the ambitions for many of the approaches to computerized assessment of …