The present work explores the connections between cognitive diagnostic models (CDM) and
knowledge space theory (KST) and shows that these two quite distinct approaches overlap …

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 …

Purpose This paper aims to explore the requirements of organizational knowledge
management initiatives using requirements engineering techniques, identifying the optimal …

The so-called basic local independence model (BLIM) constitutes the standard probabilistic
model within the theory of knowledge structures. The present paper characterizes local …

The methodologies for the construction of a knowledge structure mainly refer to the query to
experts, the skill maps, and the data-driven approaches. This last method is of growing …

The application of the basic local independence model (BLIM) to a knowledge structure (Q,
K) that satisfies a particular kind of gradation (namely forward-or backward-gradedness) …

Missing data are a well known issue in statistical inference, because some responses may
be missing, even when data are collected carefully. The problem that arises in these cases …

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

Stefanutti (2019) recently developed procedures and a related theory for deriving learning
spaces from problem spaces. The approach provides a deterministic model for partially …