Neural cognitive diagnosis for intelligent education systems
Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover
the proficiency level of students on specific knowledge concepts. Existing approaches …
the proficiency level of students on specific knowledge concepts. Existing approaches …
Learning process-consistent knowledge tracing
Knowledge tracing (KT), which aims to trace students' changing knowledge state during their
learning process, has improved students' learning efficiency in online learning systems …
learning process, has improved students' learning efficiency in online learning systems …
Diagnostic classification models: Recent developments, practical issues, and prospects
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 …
not seem to have been implemented in educational systems for the purposes they were …
NeuralCD: a general framework for cognitive diagnosis
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 …
to be assessed, such as games and clinical measurement. Especially in intelligent …
A general method of empirical Q-matrix validation
J de la Torre, CY Chiu - Psychometrika, 2016 - Springer
In contrast to unidimensional item response models that postulate a single underlying
proficiency, cognitive diagnosis models (CDMs) posit multiple, discrete skills or attributes …
proficiency, cognitive diagnosis models (CDMs) posit multiple, discrete skills or attributes …
Statistical applications to cognitive diagnostic testing
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 …
a set of skills or attributes. Such tests have gained increasing attention in educational and …
Learning or forgetting? A dynamic approach for tracking the knowledge proficiency of students
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 …
extensive resources for self-learning and brings new opportunities for data-driven research …
Identifying latent structures in restricted latent class models
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 …
psychological and educational assessment, where the model parameters are restricted via a …
Statistical refinement of the Q-matrix in cognitive diagnosis
CY Chiu - Applied Psychological Measurement, 2013 - journals.sagepub.com
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 …
examinees to proficiency classes require the Q-matrix that associates each item in a test with …
Bayesian estimation of the DINA Q matrix
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 …
classify students into skill mastery profiles. The deterministic inputs, noisy “and” gate model …