Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover
the proficiency level of students on specific knowledge concepts. Existing approaches …

Knowledge tracing (KT), which aims to trace students' changing knowledge state during their
learning process, has improved students' learning efficiency in online learning systems …

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 …

Cognitive diagnosis is widely applicable in the scenarios where users' cognitive states need
to be assessed, such as games and clinical measurement. Especially in intelligent …

In contrast to unidimensional item response models that postulate a single underlying
proficiency, cognitive diagnosis models (CDMs) posit multiple, discrete skills or attributes …

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 …

The rapid development of the technologies for online learning provides students with
extensive resources for self-learning and brings new opportunities for data-driven research …

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 …

Most methods for fitting cognitive diagnosis models to educational test data and assigning
examinees to proficiency classes require the Q-matrix that associates each item in a test with …

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 …