As an important construct in the cognitive process, comprehension monitoring has received much scholarly attention. Researchers have recognized comprehension monitoring as an ability closely linked with children's reading comprehension ability and working memory capacity. Evidence is also abundant to prove that comprehension monitoring skill…

Arithmetic fluency is regarded as a foundational math skill, typically measured as a single construct with pencil-and-paper-based timed assessments. We introduce a tablet-based assessment of single-digit fluency that captures individual trial response times across several embedded experimental contrasts of interest. A large (n = 824) cohort of…

A short form of the 60-item computer-based orthographic processing assessment (long-form COPA or COPA-LF) was developed. The COPA-LF consists of five skills, including rapid perception, access, differentiation, correction, and arrangement. Thirty items from the COPA-LF were selected for the short-form COPA (COPA-SF) based on cognitive diagnostic…

Rapid automatized naming (RAN) is a powerful predictor of reading fluency, and many digitized dyslexia screeners include RAN as an essential component. However, the validity of digitized RAN has not been established. Using a sample of 174 second-graders, this study tested (1) the comparability between paper and digitized versions of RAN and (2)…

Computer-based testing is becoming dominant for assessments in education. In New York, students take state assessments, which are now administered digitally. While this transition in technology offers advantages, there are also challenges, including insufficient digital literacy for students to adequately meet the technological demands of the…

Improving early mathematical competence is a major priority worldwide; thus, assessing early math abilities is critical. Although various international standardized instruments serve this purpose, their usage in underdeveloped countries is prohibitive due to their resource-intensive requirements. In this report, we explore the development of the…

Technologies that enable individualization for students have significant potential in special education. Computerized Adaptive Testing (CAT) refers to digital assessments that automatically adjust their difficulty level based on students' abilities, allowing for personalized, efficient, and accurate measurement. This article examines whether CAT…

In rural Mississippi, addressing the issue of reading nonproficiency for third-grade students has posed a significant challenge. To tackle the issue's complexity, the Mississippi legislature implemented the Literacy-Based Promotion Act (LBPA), also known as the 'no social promotion grade-level retention gateway" (Barrett-Tatum et al., 2019).…

Chronic absenteeism is a critical issue that has been linked to many adverse student outcomes. The current study focuses on improving a key system already in place in many school districts--early warning systems (EWSs)--in order to decrease chronic absenteeism in students' earliest schooling years. Using a demographically diverse population of…

Children's development during early childhood affects their well-being and educational success, but there are few reliable assessment instruments available. The aim of the study was to develop, pilot and validate an e-assessment instrument for assessing five-year-old children's development in cognitive processes, learning, language and…

This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

The purpose of this study was to compare the classification accuracy of data produced by the previous year's end-of-year New York state assessment, a computer-adaptive diagnostic assessment ("i-Ready"), and the gating combination of both assessments to predict the rate of students passing the following year's end-of-year state assessment…

When student achievement is assessed, we seek to elicit a student's maximum performance -- a goal requiring the assumption that the student is fully engaged. Otherwise, to the extent that disengagement occurs, test performance is likely to suffer. Effectively managing test-taking disengagement requires an understanding of the testing conditions…