NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 1 to 15 of 116 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
A. M. Alexandra Schmitterer; Leonard. D. Tetzlaff; Marcus Hasselhorn; Garvin Brod – Journal of Computer Assisted Learning, 2024
Background: Learning Progress Assessments (LPA) have been developed to help teachers individualize their curriculum. The use of LPA is facilitated by an increasing number of computerized LPA tools. However, little is known about student factors that influence the effectiveness of computerized LPA. Objectives: In this study, we explored whether a…
Descriptors: Progress Monitoring, Student Evaluation, Information Technology, Influences
Peer reviewed Peer reviewed
Direct linkDirect link
Jayaron Jose – Education and Information Technologies, 2025
The growing significance of artificial intelligence and numerous AI supported educational applications have attracted the attention of educators worldwide. Consequently, AI and software developers have begun creating numerous AI supported applications for teaching and learning. The paper explains the importance of the impacts of the Microsoft…
Descriptors: Computer Mediated Communication, Computer Software, Progress Monitoring, Reading Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Yan, Zi; Chiu, Ming Ming – British Educational Research Journal, 2023
Despite the general consensus on the positive impact of formative assessment on student learning, researchers have not shown the underlying mechanisms between specific formative assessment strategies and academic performance on an international sample. This study examines the link between student and teacher reports of teachers' formative…
Descriptors: Formative Evaluation, Evaluation Methods, Reading Achievement, Correlation
Ohio Department of Education and Workforce, 2025
Ohio law requires the director of the Department of Education and Workforce to report annually the numbers and percentages of students in kindergarten through grade 4 who are reading below grade level based on diagnostic assessments, and also to report progress for all students placed on Reading Improvement and Monitoring Plans in kindergarten…
Descriptors: Elementary School Students, Kindergarten, Grade 1, Grade 2
Peer reviewed Peer reviewed
Direct linkDirect link
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
Education Policy Innovation Collaborative, 2024
This is the sixth report in a series prepared and delivered to the governor and the Senate and House standing committees responsible for education law in the Michigan legislature. It is designed to help interpret and contextualize assessment results and students' progress toward learning goals in the wake of the COVID-19 pandemic. Our analyses…
Descriptors: Benchmarking, Student Evaluation, Progress Monitoring, COVID-19
Peer reviewed Peer reviewed
Direct linkDirect link
Johny Daniel; Amy Barth; Ethan Ankrum – Reading Teacher, 2024
Reading comprehension is contingent upon the integration of various reading skills, including word reading, reading fluency, and comprehension strategies. Students who encounter challenges in both word reading and reading comprehension present an opportunity for growth across multiple reading-related domains. Recent intervention data, as…
Descriptors: Intervention, Reading Comprehension, Reading Skills, Elementary School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Sunaina Shenoy; Theresah Boateng; Allison Nannemann – International Journal for Research in Learning Disabilities, 2024
This study compared students' performance on Istation, a computer-based progress-monitoring tool, and easyCBM, a paper-pencil progress-monitoring tool. Participants included 106 students in Grades K-6 from a rural school in New Mexico. Teachers in these grade levels administered both assessments three times during the school year. Results…
Descriptors: Progress Monitoring, Rural Schools, Kindergarten, Grade 1
Peer reviewed Peer reviewed
Direct linkDirect link
Akiko Kaizu; Munehisa Tamaki – Journal of Research in Childhood Education, 2024
This longitudinal study examined the effectiveness of a progress monitoring method, namely the Multilayer Instruction Model-Progress Monitoring (MIM-PM), which is a word reading fluency measure. It was used from 1st grade onward to predict the overall reading achievement of students in elementary school by tracking their reading achievement over…
Descriptors: Foreign Countries, Elementary School Students, Grade 2, Grade 4
Chester Holland; Akisha Osei Sarfo; Brian Garcia; Ray Hart – Council of the Great City Schools, 2023
As parents, communities, educators, and policymakers continue to assess the impact of the COVID-19 pandemic on student learning in America, many have turned to recently released results from the National Assessment of Educational Progress (NAEP). NAEP measures what students know and what they can do in several tested subjects, including reading,…
Descriptors: National Competency Tests, Student Evaluation, Academic Achievement, Urban Schools
Ybelize N. Pilarte – ProQuest LLC, 2023
Students with Disabilities (SWD) are underperforming in reading when compared to their neurotypical peers. Although reading research has made significant progress over the past 30 years, including recent developments regarding the science of reading, the findings from the extensive body of research are not consistently grounding instructional…
Descriptors: Students with Disabilities, Reading Achievement, Evidence Based Practice, Special Education Teachers
Peer reviewed Peer reviewed
Direct linkDirect link
Adrea J. Truckenmiller; Eunsoo Cho; Samantha Bourgeois; Ellie Friedman – Reading Teacher, 2024
The purpose of this article was to offer guidance to educators in evaluating the strengths, weaknesses, and most effective uses of commercial reading assessment suites. We provide three resources to help educators who are responsible for making instructional decisions in reading using formal screening, benchmark, interim, and progress-monitoring…
Descriptors: Elementary Schools, Decision Making, Reading Achievement, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Vanderheyden, Amanda M.; Solomon, Benjamin G. – School Psychology, 2023
Curriculum-based measurement (CBM) has conventionally included accuracy criteria with recommended fluency thresholds for instructional decision-making. Some scholars have argued for the use of accuracy to directly determine instructional need (e.g., Szadokierski et al., 2017). However, accuracy and fluency have not been directly examined to…
Descriptors: Curriculum Based Assessment, Progress Monitoring, Screening Tests, Accuracy
Peer reviewed Peer reviewed
Direct linkDirect link
MacKenzie D. Sidwell; Landon W. Bonner; Kayla Bates-Brantley; Shengtian Wu – Intervention in School and Clinic, 2024
Oral reading fluency probes are essential for reading assessment, intervention, and progress monitoring. Due to the limited options for choosing oral reading fluency probes, it is important to utilize all available resources such as generative artificial intelligence (AI) like ChatGPT to create oral reading fluency probes. The purpose of this…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Oral Reading
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8