Predicting student performance in international large-scale assessments (ILSAs) is crucial for understanding educational outcomes on a global scale. ILSAs, such as the Program for International Student Assessment and the Trends in International Mathematics and Science Study, serve as vital tools for policymakers, educators, and researchers to…

Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichotomous responses have been developed, but constructing an equally efficient and robust algorithm for polytomous models has received limited attention. To address this gap,…

As we move further into the digital age, the acquisition of digital literacy (DL) and computational thinking (CT) skills is emerging internationally as an essential goal for students in contemporary school curricula. As the world becomes more uncertain and volatile due to impacts of artificial intelligence (AI), international unrest, climate…

Considers traditional ways in which attempts have been made to help students become fluent in mathematics and offers a model for ways in which fluency can be achieved with a more economic use of students' time and effort than through traditional models of exercises based on repetition. (MKR)

Comparison of the computation ability in addition, subtraction, multiplication, and division of 155 students (ages 9-14) with learning disabilities (LD) and 266 normally achieving (NA) students demonstrated that NA students outperformed students with LD. Students with LD had more algorithmic errors, and failed to show growth patterns by age. NA…

Data indicated that high percentages of fifth- through eighth-grade low achievers had high algorithm confidence for the operations of addition, subtraction, and multiplication. A substantial proportion in each grade expressed a low degree of confidence in their computational method for division. (CM)