Predicting academic performance for students majoring in computer science has long been a significant field of research in computing education. Previous studies described that accurate prediction of students' early-stage performance could identify low-performing students and take corrective action to improve performance. Besides, adopting machine…

This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…

Traditional static tests of reading and reading-related skills offer some ability to predict future reading performance, though such screeners may misclassify children with or at risk of reading disorder (RD). Dynamic assessment (DA) is an alternative approach that measures learning potential and may be less dependent on learning background. A…

This paper addresses the need for effective curriculum-based measures (CBMs) to assess foundational literacy skills in India. It seeks to answer the questions: What is the reliability and validity of the FABLe app in the Indian context? What is the efficacy of the FABLe app in identifying students who are at-risk for reading difficulties? There…

Many preschool agencies nationwide continue to experience closures and/or conversions to virtual or hybrid instruction due to the ongoing coronavirus disease 2019 (COVID-19) pandemic. Despite the importance of understanding young children's learning and development during the COVID emergency, limited knowledge exists on adaptable practices for…

This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…

The "Morbidity and Mortality Weekly Report" ("MMWR") series of publications is published by the Office of Science, Centers for Disease Control and Prevention (CDC), U.S. Department of Health and Human Services. Articles included in this supplement are: (1) Overview and Methods for the Youth Risk Behavior Surveillance System --…

Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…

Purpose: Our aim was to evaluate the psychometric properties of the online administered format of the Test of Narrative Language--Second Edition (TNL-2; Gillam & Pearson, 2017), given the importance of assessing children's narrative ability and considerable absence of psychometric studies of spoken language assessments administered online.…

Background/Context: Funders, researchers and developers share an interest in applying rapid cycle evaluation techniques in education (McNall & Foster-Fishman, 2007; Resch, 2016). Both rapid-cycle and other evaluation processes require monitoring the quality of implementation (Moir, 2018). By quickly monitoring and adjusting implementation,…

The purpose of this comparative study was to determine the effectiveness of 2 ACT intervention preparation programs. One was a face-to-face ACT intervention preparation program and the 2nd was a computer-based ACT intervention preparation program. Both of these intervention programs were used with at-risk high school juniors and seniors in a large…

Purpose: Our aim was to evaluate the psychometric properties of the online administered format of the Test of Narrative Language--Second Edition (TNL-2; Gillam & Pearson, 2017), given the importance of assessing children's narrative ability and considerable absence of psychometric studies of spoken language assessments administered online.…

Universal screening is the first mechanism by which students are identified as at risk of failure in the context of multitiered systems of supports. This study examined the validity and diagnostic accuracy of a reading computer-adaptive test as a screener to identify state achievement test performance for third through fifth graders (N = 1,696).…

This study examined recent technological developments in cognitive assessment and how these developments impact children's test behavior. The study consisted of two groups: one tested with an iPad and another tested with the standard paper and pencil format of the Wechsler Intelligence Scale for Children (WISC-IV). Independent groups t tests…

School systems across the country are transitioning from paper-based testing (PBT) to computer-based testing (CBT). As this technological shift occurs, more research is necessary to understand the practical and performance implications of administering CBTs. Currently, there is a paucity of research using CBTs to examine working memory (WM)…