6 papers
Interpreting Learning Under Competing Models: Joint and Stepwise Approaches for Dynamic Cognitive Diagnosis
Yawen Ma, Sahoko Ishida, Kate Cain +1
Digital learning environments record learners' responses to individual items, making it possible to study the development of specific skills rather than overall scores. Drawing con…
A Regularised Latent-Class Item Response Model for Detecting Measurement Non-Invariance in Ordinal Response Scales
Gabriel Wallin, Qi Huang
Measurement non-invariance arises when the psychometric properties of a scale differ across subgroups, undermining the validity of group comparisons. At the item level, this manife…
A Comparison of Joint and Stepwise Dynamic Cognitive Diagnostic Models
Yawen Ma, Anastasia Ushakova, Kate Cain +1
To extend cognitive diagnostic models (CDMs) to longitudinal settings, stepwise approaches that integrate a CDM model with a latent transition model and covariates are widely used…
NLP-Informed Dynamic Cognitive Diagnosis Modelling
Yawen Ma, Sahoko Ishida, Kate Cain +1
Digital learning platforms are increasingly used to support reading development while generating rich log files and item-level textual content. Using these data, this study propose…
A statistical framework for dynamic cognitive diagnosis in digital learning environments
Yawen Ma, Anastasia Ushakova, Kate Cain +1
Reading is foundational for educational, employment, and economic outcomes, but a persistent proportion of students globally struggle to develop adequate reading skills. Some count…
A Latent Variable Model with Change-Points and Its Application to Time Pressure Effects in Educational Assessment
Gabriel Wallin, Yunxiao Chen, Yi-Hsuan Lee +1
Educational assessments are valuable tools for measuring student knowledge and skills, but their validity can be compromised when test takers exhibit changes in response behavior d…