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Kunyu Xu; Yu-Min Ku; Chenlu Ma; Chien-Hui Lin; Wan-Chen Chang – Metacognition and Learning, 2024
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…
Descriptors: Eye Movements, Computer Assisted Testing, Memory, Reading Comprehension
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Ifenthaler, Dirk; Sahin, Muhittin – Interactive Technology and Smart Education, 2023
Purpose: This study aims to focus on providing a computerized classification testing (CCT) system that can easily be embedded as a self-assessment feature into the existing legacy environment of a higher education institution, empowering students with self-assessments to monitor their learning progress and following strict data protection…
Descriptors: College Students, Classification, Self Evaluation (Individuals), Progress Monitoring
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Wade, Taryn; McConomy, M. Addie; Heiniger, Sarah; Root, Jenny; Hott, Brittany – Journal of Special Education Technology, 2023
The purpose of this article is to provide practical, research-based strategies for using technology to monitor Individualized Education Plan (IEP) goal progress. Steps in the assessment process and progress monitoring strategies are provided to support educators in meeting the needs of students and to communicate the performance results with…
Descriptors: Educational Technology, Individualized Education Programs, Goal Orientation, Electronic Learning
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Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
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Ethan R. Van Norman; Emily R. Forcht – Assessment for Effective Intervention, 2024
Curriculum-based measurement of reading (CBM-R) is a common assessment educators use to monitor student growth in broad reading skills and evaluate the effectiveness of instructional programs. Computer-adaptive tests (CATs), such as Star Reading, have been cited as a viable option to formatively assess reading growth. We used Bayesian…
Descriptors: Reading Improvement, Reading Skills, Reading Achievement, Curriculum Based Assessment
Chelsea Williams – ProQuest LLC, 2024
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).…
Descriptors: Reading, Progress Monitoring, High Stakes Tests, Rural Schools
Greenwood, Charles R.; Higgins, Susan; McKenna, Meaghan; Buzhardt, Jay; Walker, Dale; Ai, Jun; Irvin, Dwight W.; Grasley-Boy, Nikki – Journal of Early Intervention, 2022
Universal screening and progress monitoring are evidence-based practices in early intervention/early childhood special education (EI/ECSE). Individual Growth and Development Indicators (IGDIs) for infants/toddlers are measures that programs can use for universal screening, progress monitoring, intervention decision-making, and accountability.…
Descriptors: Screening Tests, Progress Monitoring, Infants, Toddlers
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Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
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…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Kendeou, Panayiota; McMaster, Kristen L.; Butterfuss, Reese; Kim, Jasmine; Slater, Susan; Bulut, Okan – Assessment for Effective Intervention, 2021
The overall aim of the current investigation was to develop and validate the initial version of the Minnesota Inference Assessment (MIA). MIA is a web-based measure of inference processes in Grades K-2. MIA leverages the affordances of different media to evaluate inference processes in a nonreading context, using age-appropriate fiction and…
Descriptors: Test Construction, Test Validity, Inferences, Computer Assisted Testing
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Xin Wei; Jeremy Roschelle; Danae Kamdar; Tiffany Leones; Ximena Dominguez; William Corrin – Society for Research on Educational Effectiveness, 2024
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,…
Descriptors: Elementary School Mathematics, Elementary School Students, Elementary School Teachers, Mathematics Instruction
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McCallum, Suzanne; Milner, Margaret M. – Assessment & Evaluation in Higher Education, 2021
This article reports on the implementation of formative e-assessments in courses taken by first-year students. The central aim is to measure the effectiveness of the formative e-assessments with reference to the student voice and staff reflections. Students engaged with the formative assessments and the evidence gathered via questionnaires show…
Descriptors: Formative Evaluation, Instructional Effectiveness, Student Attitudes, Teacher Attitudes
Kendeou, Panayiota; McMaster, Kristen L.; Butterfuss, Reese; Kim, Jasmine; Slater, Susan; Bulut, Okan – Grantee Submission, 2020
The overall aim of the current investigation was to develop and validate the initial version of the Minnesota Inference Assessment (MIA). MIA is a web-based measure of inference processes in K-2. MIA leverages the affordances of different media to evaluate inference processes in a nonreading context, using age-appropriate fiction and nonfiction…
Descriptors: Test Construction, Test Validity, Inferences, Computer Assisted Testing
Sterett H. Mercer; Joanna E. Cannon – Grantee Submission, 2022
We evaluated the validity of an automated approach to learning progress assessment (aLPA) for English written expression. Participants (n = 105) were students in Grades 2-12 who had parent-identified learning difficulties and received academic tutoring through a community-based organization. Participants completed narrative writing samples in the…
Descriptors: Elementary School Students, Secondary School Students, Learning Problems, Learning Disabilities
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Johnson, Kristin N.; Thompson, Kenneth L.; Farmer, Ryan L. – Canadian Journal of School Psychology, 2020
Repeated measurements of student ability (i.e., progressing monitoring) is an essential element of informed decision-making when adjusting instruction. An important characteristic of progress monitoring measures is frequent administration to identify areas of concern and to evaluate academic growth. The purpose of this study was to determine if…
Descriptors: Progress Monitoring, Mathematics Instruction, Grade 5, Elementary School Students
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Özdil, Gülsah; Simsek, Fatma Merve; Tugluk, Mehmet Nur – Southeast Asia Early Childhood, 2021
This is a comparative education study that aims to compare the digital documentation systems used in the preschool education programs and institutions in Turkey, Germany and Spain and to reveal the similarities and differences between these systems. The study was planned as a qualitative research in terms of its descriptive aspect, and as a…
Descriptors: Foreign Countries, Cultural Differences, Preschool Education, Evaluation Methods
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