More than three decades after their introduction, diagnostic classification models (DCM) do
not seem to have been implemented in educational systems for the purposes they were …

Diagnostic classification tests are designed to assess examinees' discrete mastery status on
a set of skills or attributes. Such tests have gained increasing attention in educational and …

This article focuses on a family of restricted latent structure models with wide applications in
psychological and educational assessment, where the model parameters are restricted via a …

To provide more refined diagnostic feedback with collateral information in item response
times (RT s), this study proposed joint modelling of attributes and response speed using item …

Cognitive diagnosis models are partially ordered latent class models and are used to
classify students into skill mastery profiles. The deterministic inputs, noisy “and” gate model …

An adaptive learning system aims at providing instruction tailored to the current status of a
learner, differing from the traditional classroom experience. The latest advances in …

Statistical latent class models are widely used in social and psychological researches, yet it
is often difficult to establish the identifiability of the model parameters. In this paper, we …

A family of learning models that integrates a cognitive diagnostic model and a higher-order,
hidden Markov model in one framework is proposed. This new framework includes …

Cognitive diagnosis models (CDMs) are useful statistical tools in cognitive diagnosis
assessment. However, as many other latent variable models, the CDMs often suffer from the …

Latent class models have wide applications in social and biological sciences. In many
applications, prespecified restrictions are imposed on the parameter space of latent class …