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Samira Syal; Marcia Davis; Xiaodong Zhang; Jason Schoeneberger; Samantha Spinney; Douglas J. Mac Iver; Martha Mac Iver – Reading Psychology, 2024
Motivation to read is crucial to improving reading skill. While there is extensive research examining reading motivation among elementary students, with respect to adolescents, research is limited. Employing a person-centered approach can aid in developing a better understanding of adolescent reading motivation and would help address possible…
Descriptors: Reading Motivation, Adolescents, Reading Achievement, High School Students
Yi-Jui I. Chen; Yi-Jhen Wu; Yi-Hsin Chen; Robin Irey – Journal of Psychoeducational Assessment, 2025
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…
Descriptors: Computer Assisted Testing, Test Length, Test Validity, Orthographic Symbols
Samira Syal; Marcia Davis; Xiaodong Zhang; Jason Schoeneberger; Samantha Spinney; Douglas J. Mac Iver; Martha Mac Iver – Grantee Submission, 2023
Motivation to read is crucial to improving reading skill. While there is extensive research examining reading motivation among elementary students, with respect to adolescents, research is limited. Employing a person-centered approach can aid in developing a better understanding of adolescent reading motivation and would help address possible…
Descriptors: Reading Motivation, Adolescents, Reading Achievement, High School Students
Ali Rezaei – Journal of Interactive Learning Research, 2024
Educational tools like EdPuzzle, PlayPosit, and Kaltura have gained recent attention, as they purportedly empower educators to incorporate questions, quizzes, and discussions into instructional videos. However, there is no empirical evidence on how or under what circumstances these platforms may impact students' learning. A quasi-experimental…
Descriptors: College Students, Interactive Video, Student Attitudes, College Faculty
Cassandra Guarino; Anna Bargagliotti; Tom Smith; Hana Kang; Yiwang Li – Annenberg Institute for School Reform at Brown University, 2024
This study addresses the important yet underexplored question of whether the Common Core State Standards in Mathematics, which emphasize critical thinking and problem-solving, as well as the computer-based assessments aligned with the Common Core, have facilitated or hindered learning for students with disabilities. By analyzing administrative…
Descriptors: Common Core State Standards, Mathematics Achievement, Mathematics Instruction, Elementary School Students
Guzman-Orth, Danielle; Steinberg, Jonathan; Albee, Traci – Language Testing, 2023
Standardizing accessible test design and development to meet students' individual access needs is a complex task. The following study provides one approach to accessible test design and development using participatory design methods with school community members. Participatory research provides opportunities to empower collaborators by co-creating…
Descriptors: English Language Learners, Blindness, Visual Impairments, Testing Accommodations
Wolf, Mikyung Kim; Yoo, Hanwook; Guzman-Orth, Danielle; Abedi, Jamal – Educational Assessment, 2022
Implementing a randomized controlled trial design, the present study investigated the effects of two types of accommodations, linguistic modification and a glossary, for English learners (ELs) taking a computer-based mathematics assessment. Process data including response time and clicks on glossary words were also examined to better interpret…
Descriptors: Testing Accommodations, English Language Learners, Computer Assisted Testing, Mathematics Tests
Nonkanyiso Pamella Shabalala – Research in Social Sciences and Technology, 2024
The integration of Artificial Intelligence (AI) into Open Distance eLearning (ODeL) represents a significant evolution in STEM education, offering transformative benefits in teaching, learning and administrative processes. This conceptual paper explores how AI-driven platforms are revolutionising ODeL by providing personalised learning…
Descriptors: STEM Education, Distance Education, Artificial Intelligence, Educational Technology
Hart, Cassandra M. D.; Hill, Michael; Alonso, Emily; Xu, Di – Annenberg Institute for School Reform at Brown University, 2022
While the COVID-19 pandemic necessitated the short-term use of online courses, colleges' experiences with COVID-era online course delivery may also affect the way that they offer and approach online courses going forward. We draw on interviews with 35 distance education leaders from the California Community Colleges system to provide insights into…
Descriptors: COVID-19, Pandemics, Distance Education, Online Courses
Ashley Anne Grant; Michael A. Cook; Steven M. Ross – Center for Research and Reform in Education, 2023
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction on reading achievement, as measured by SBA scores. We compared students in schools using i-Ready Personalized Instruction school-wide (Treatment students) to students who only received i-Ready Diagnostic assessments and who were in schools only partially…
Descriptors: Individualized Instruction, Reading Achievement, Influences, Evaluation
Ashley A. Grant; Michael A. Cook; Steven M. Ross – Center for Research and Reform in Education, 2023
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction on math achievement, as measured by SBA scores. We compared "striving learner" students who were assigned to use i-Ready Personalized Instruction (Treatment students) and "striving learner" students assigned to only receive i-Ready…
Descriptors: Mathematics Achievement, Elementary School Mathematics, Individualized Instruction, Influences
Ashley A. Grant; Michael A. Cook; Steven M. Ross – Center for Research and Reform in Education, 2023
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction on math achievement, as measured by SBA scores. We compared students in schools using i-Ready Personalized Instruction school-wide (Treatment students) and students who only received i-Ready Diagnostic assessments and who were in schools only partially…
Descriptors: Elementary School Mathematics, Mathematics Achievement, Mathematics Tests, Individualized Instruction
Chen, Yi-Jui I.; Chen, Yi-Hsin; Anthony, Jason L.; Erazo, Noé A. – Journal of Psychoeducational Assessment, 2022
The Computer-based Orthographic Processing Assessment (COPA) is a newly developed assessment to measure orthographic processing skills, including rapid perception, access, differentiation, correction, and arrangement. In this study, cognitive diagnostic models were used to test if the dimensionality of the COPA conforms to theoretical expectation,…
Descriptors: Elementary School Students, Grade 2, Computer Assisted Testing, Orthographic Symbols
Jason Schoeneberger; Xiaodong Zhang; Samantha Spinney; Jing Sun; Lauren Kennedy; Samira Rajesh Syal – Grantee Submission, 2023
The purpose of this study was to understand the impact, implementation and costs associated with a one-semester elective lab course in 9th grade, Accelerating Literacy for Adolescents (ALFA) Lab, which seeks to improve students' reading achievement, particularly for those from economically disadvantaged communities. This study used three cohorts…
Descriptors: High School Students, Grade 9, Learning Laboratories, Reading Centers
Cutumisu, Maria – Interactive Technology and Smart Education, 2018
Purpose: This study aims to examine the impact of the informational value of feedback choices (confirmatory versus critical feedback) on students' performance, their choice to revise and the time they spend designing posters and reading feedback in a computer-based assessment game, Posterlet. Design/methodology/approach: An empirical correlational…
Descriptors: Feedback (Response), Computer Games, Middle School Students, Grade 8