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Laura A. Outhwaite; Pirjo Aunio; Jaimie Ka Yu Leung; Jo Van Herwegen – Educational Psychology Review, 2024
Successful early mathematical development is vital to children's later education, employment, and wellbeing outcomes. However, established measurement tools are infrequently used to (i) assess children's mathematical skills and (ii) identify children with or at-risk of mathematical learning difficulties. In response, this pre-registered systematic…
Descriptors: Mathematics Tests, Screening Tests, Mathematics Skills, At Risk Students
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Kayla V. Campaña; Benjamin G. Solomon – Assessment for Effective Intervention, 2025
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…
Descriptors: Accuracy, Classification, Diagnostic Tests, Adaptive Testing
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Goulet, Julie; Archambault, Isabelle; Morizot, Julien; Olivier, Elizabeth; Tardif-Grenier, Kristel – Journal of Psychoeducational Assessment, 2023
Studies highlighting the importance of parental involvement in schooling have multiplied over the past years. However, well-validated tools assessing the different dimensions of parental involvement are lacking, especially when addressing young students' perception of their parents' involvement. This study offers a preliminary validation of the…
Descriptors: Test Validity, Parent Participation, Questionnaires, Student Attitudes
Dallas Horne – ProQuest LLC, 2024
Education reform in the United States is heavily regulated and has undergone various iterations in the past several decades. With each passing legislation, government mandates and educational initiatives become the focus of reform. School districts must constantly find ways to keep up with increasing state and federal accountability standards.…
Descriptors: Achievement Tests, Predictive Validity, Correlation, Scores
Gary A. Troia; Frank R. Lawrence; Julie S. Brehmer; Kaitlin Glause; Heather L. Reichmuth – Grantee Submission, 2023
Much of the research that has examined the writing knowledge of school-age students has relied on interviews to ascertain this information, which is problematic because interviews may underestimate breadth and depth of writing knowledge, require lengthy interactions with participants, and do not permit a direct evaluation of a prescribed array of…
Descriptors: Writing Tests, Writing Evaluation, Knowledge Level, Elementary School Students
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Umar Shehzad; Mimi Recker; Jody Clarke-Midura – Assessment in Education: Principles, Policy & Practice, 2025
This study investigates the use of exit tickets as formative assessments in maths-integrated computer science (CS) lessons for grade 5 students. Exit tickets are brief surveys administered immediately after instructional activities. Using structural equation modelling (SEM), we analysed data from 1,067 students to examine the reliability and…
Descriptors: Formative Evaluation, Psychological Patterns, Computer Science Education, Grade 5
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Thomas, Asia S.; January, Stacy-Ann A. – Assessment for Effective Intervention, 2021
Educators use universal screening to identify students who may be at risk for not meeting proficiency on the state assessment. Given the potential high-stakes of state tests, using accurate screeners is critical. Independent research is emerging on screeners such as the Measures of Academic Progress (MAP), a computer adaptive test, and the…
Descriptors: Reading Tests, Screening Tests, Test Validity, Accuracy
Kaitlin A. Hill – ProQuest LLC, 2021
This study was an initial psychometric investigation of the Universal Behavior Screener (UBS), a nine-item screening measure developed by psychologists within the Hawai'i Department of Education (HIDOE) to identify elementary school youth at risk for social, emotional, and behavioral concerns. Data from nine teachers reporting on 230 students at…
Descriptors: Screening Tests, Psychometrics, Elementary School Students, At Risk Students
Backes, Ben; Cowan, James – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2020
Prior work has documented a substantial penalty associated with taking the Partnership for Assessment of Readiness for College and Careers (PARCC) online relative to on paper (Backes & Cowan, 2019). However, this penalty does not necessarily make online tests less useful. For example, it could be the case that computer literacy skills are…
Descriptors: Predictive Validity, Test Validity, Computer Assisted Testing, Comparative Analysis
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Peltier, Corey; Vannest, Kimberly J.; Tomaszewski, Brianne R.; Morin, Kristi; Sallese, Mary Rose; Pulos, Joshua M. – Exceptionality, 2022
The current study examined the criterion validity of a computer adaptive universal screener with an end-of-year state mathematics assessment using extant data provided by a local education agency. Participants included 1,195 third through eighth graders. Correlational analyses were used to report predictive and concurrent validity coefficients for…
Descriptors: Adaptive Testing, Computer Assisted Testing, Screening Tests, Mathematics Tests
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Anselmo, Giancarlo A.; Yarbrough, Jamie L.; Tran, Van Vi N. – Journal of Psychoeducational Assessment, 2021
This study analyzed the relationship between benchmark scores from the newly published Dynamic Indicators of Basic Early Literacy Skills Math (i.e., Acadience™) math probes and student performance on math and reading sections of a state-mandated high-stakes test. Participants were 420 students enrolled in third, fourth, and fifth grades in a rural…
Descriptors: Elementary School Students, Mathematics Tests, Benchmarking, High Stakes Tests
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Bastianello, Tamara; Brondino, Margherita; Persici, Valentina; Majorano, Marinella – Journal of Research in Childhood Education, 2023
The present contribution aims at presenting an assessment tool (i.e., the TALK-assessment) built to evaluate the language development and school readiness of Italian preschoolers before they enter primary school, and its predictive validity for the children's reading and writing skills at the end of the first year of primary school. The early…
Descriptors: Literacy, Computer Assisted Testing, Italian, Language Acquisition
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Matta, Michael; Mercer, Sterett H.; Keller-Margulis, Milena A. – School Psychology, 2023
Recent advances in automated writing evaluation have enabled educators to use automated writing quality scores to improve assessment feasibility. However, there has been limited investigation of bias for automated writing quality scores with students from diverse racial or ethnic backgrounds. The use of biased scores could contribute to…
Descriptors: Bias, Automation, Writing Evaluation, Scoring
Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Grantee Submission, 2023
Recent advances in automated writing evaluation have enabled educators to use automated writing quality scores to improve assessment feasibility. However, there has been limited investigation of bias for automated writing quality scores with students from diverse racial or ethnic backgrounds. The use of biased scores could contribute to…
Descriptors: Bias, Automation, Writing Evaluation, Scoring
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Javier Del Olmo-Muñoz; Pascual D. Diago; David Arnau; David Arnau-Blasco; José Antonio González-Calero – ZDM: Mathematics Education, 2024
This research, following a sequential mixed-methods design, delves into metacognitive control in problem solving among 5- to 6-year-olds, using two floor-robot environments. In an initial qualitative phase, 82 pupils participated in tasks in which they directed a floor robot to one of two targets, with the closer target requiring more cognitive…
Descriptors: Elementary School Students, Metacognition, Robotics, Computer Simulation
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