This paper briefly discusses four measurement challenges of data science or "big data" in educational assessments that are enabled by technology: 1. Dealing with change over time via time-based data. 2. How a digital performance space's relationships interact with learner actions, communications and products. 3. How layers of…

Model-based multiple imputation has become an indispensable method in the educational and behavioral sciences. Mean and covariance structure models are often fitted to multiply imputed data sets. However, the presence of multiple random imputations complicates model fit testing, which is an important aspect of mean and covariance structure…

Inferences from recent international comparative data on mathematical attainment, frequently quoted as justification for curriculum change, are critically examined, and the implications are contrasted with expressed curricular aims. Using characterisations by Ball (1990) and Ernest (1991), positions of key actors are analysed in relation to…