Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 22 |
Since 2006 (last 20 years) | 31 |
Descriptor
Source
Author
Aleven, Vincent | 2 |
Bailey, Tessie | 2 |
Lindsay, Jim | 2 |
Miskell, Ryan | 2 |
Nelson, Gena | 2 |
Olsen, Jennifer K. | 2 |
Ruedel, Kristin | 2 |
Rummel, Nikol | 2 |
Sam, A. | 2 |
Van Norman, Ethan R. | 2 |
Ysseldyke, James E. | 2 |
More ▼ |
Publication Type
Education Level
Elementary Education | 31 |
Middle Schools | 11 |
Secondary Education | 10 |
Grade 4 | 7 |
Grade 5 | 7 |
Intermediate Grades | 6 |
Junior High Schools | 6 |
Early Childhood Education | 4 |
Grade 3 | 4 |
Grade 2 | 3 |
Kindergarten | 3 |
More ▼ |
Location
Louisiana | 2 |
New York | 2 |
South Dakota | 2 |
Wisconsin (Milwaukee) | 2 |
Alabama | 1 |
Greece | 1 |
Iowa | 1 |
Massachusetts | 1 |
Minnesota | 1 |
Missouri | 1 |
Tennessee (Nashville) | 1 |
More ▼ |
Laws, Policies, & Programs
Individuals with Disabilities… | 1 |
Assessments and Surveys
Dynamic Indicators of Basic… | 1 |
What Works Clearinghouse Rating
Allen, Ray; Ferkel, Rick; Fisher, Kevin; Wawersik, Andrew – Journal of Physical Education, Recreation & Dance, 2022
The purpose of this paper is to present an assessment system that enables physical education programs to collect data capable of meeting their assessment. Assessment at the elementary level is a daunting task. Practitioners are charged to teach multiple objectives across all learning domains to hundreds of students in multiple grades in a limited…
Descriptors: Physical Education, Educational Assessment, Data Collection, Elementary School Teachers
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
Education Commission of the States, 2020
The population of English learners (ELs) in K-12 schools continues to grow. Between the 2009-10 and 2014-15 school years, the percentage of English learners increased in over half of the states, and in 2017, English learners made up 10.1% of the total student population. Research suggests that in their transition to English, non-native speakers…
Descriptors: Elementary School Students, English Language Learners, English (Second Language), Second Language Learning
Verlenden, Jorge; Naser, Shereen; Brown, Jeffrey – Journal of Applied School Psychology, 2021
Behavioral and social-emotional challenges experienced in childhood are risk factors for negative educational and health outcomes. Universal social-emotional screening in schools has been identified as an effective approach to identifying children at risk for mental health and behavioral challenges and is congruent with tiered frameworks for…
Descriptors: Screening Tests, Behavior Problems, Emotional Problems, At Risk Persons
Diana Louise Nestico-Arnold – ProQuest LLC, 2023
Elementary school teachers struggle to collect and use reading progress data to make instructional decisions. Collecting and interpreting reading progress data when making instructional decisions allows districts to identify and support students who need early reading intervention and may protect districts from Free Appropriate Public Education…
Descriptors: Progress Monitoring, Reading Achievement, Data Use, Decision Making
Grasley-Boy, Nicolette; Gage, Nicholas A.; MacSuga-Gage, Ashley S. – Beyond Behavior, 2019
Quality professional development (PD) can be a great benefit to teachers who need help with classroom management implementation. PD programs have better outcomes when there is follow-up after skill instruction. Providing PD within a multitiered support (MTS) framework can make PD delivery more efficient for schools. We describe an MTS-PD program…
Descriptors: Classroom Techniques, Faculty Development, Program Implementation, Data Collection
Conley, Kathleen M.; Horner, Robert H.; McIntosh, Kent – Technical Assistance Center on Positive Behavioral Interventions and Supports, 2019
A core feature of Positive Behavioral Interventions and Supports (PBIS) is the collection, summary, and use of data for iterative decision-making. The initial design of support and the adaptations that make behavior support match cultural, organizational, and personal needs require that a support team have functional information to guide…
Descriptors: Positive Behavior Supports, Elementary School Students, Decision Making, Progress Monitoring
Ruedel, Kristin; Nelson, Gena; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2017
Many states struggle with collecting reliable and valid data that can be easily analyzed at the state level. This can be particularly challenging in states where schools and districts have local control over the selection of their assessment tools. This state spotlight presents the strategies that the Iowa Department of Education (IDE) used to…
Descriptors: Data Use, Data Collection, State Policy, Educational Policy
Van Norman, Ethan R.; Ysseldyke, James E. – School Psychology Review, 2020
Within multitiered systems of support, assessment practices that limit the amount of time students miss instruction should be prioritized. At the same time, decisions about student response to intervention need to be based upon technically adequate data. We evaluated the impact of data collection frequency and trend estimation method on the…
Descriptors: Data Collection, Adaptive Testing, Computer Assisted Testing, Computation
January, Stacy-Ann A.; Van Norman, Ethan R.; Christ, Theodore J.; Ardoin, Scott P.; Eckert, Tanya L.; White, Mary Jane – School Psychology Review, 2018
The present study examined the utility of two progress monitoring assessment schedules (bimonthly and monthly) as alternatives to monitoring once weekly with curriculum-based measurement in reading (CBM-R). General education students (N = 93) in Grades 2-4 who were at risk for reading difficulties but not yet receiving special education services…
Descriptors: Progress Monitoring, Reading Improvement, Reading Tests, Student Evaluation
Nelson, Peter M.; Van Norman, Ethan R.; Klingbeil, Dave A.; Parker, David C. – Psychology in the Schools, 2017
Although extensive research exists on the use of curriculum-based measures for progress monitoring, little is known about using computer adaptive tests (CATs) for progress-monitoring purposes. The purpose of this study was to evaluate the impact of the frequency of data collection on individual and group growth estimates using a CAT. Data were…
Descriptors: Progress Monitoring, Computer Assisted Testing, Data Collection, Scheduling
Mires, Carolyn B.; Lee, David L. – Beyond Behavior, 2017
Calvin is a student who will not stay in his seat. He calls out constantly. Calvin does not complete his class work, and his homework is rarely returned. Do you have a student like Calvin? Does he fail to turn in homework, or act disrespectfully toward teachers and peers? Easy to implement, the Daily Behavior Report Card is an empirically based…
Descriptors: Student Behavior, Behavior Modification, Family School Relationship, Intervention
Ruedel, Kristin; Nelson, Gena; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2017
Similar to many states, the Louisiana Department of Education (LDOE) does not mandate the use of specific literacy screening or progress monitoring tools. LDOE sought a measurement approach that resulted in accurate and reliable information on student progress and outcomes, yet respected local control. This state spotlight presents initial…
Descriptors: Data Use, State Standards, Educational Improvement, Decision Making
Sam, A.; Kucharczyk, S.; Waters, V. – National Professional Development Center on Autism Spectrum Disorders, 2018
This evidence-based practice overview on Structured Play Groups (SPG) includes the following components: (1) Overview: A quick summary of salient features of the practice, including what it is, who it can be used with, what skills it has been used with, and settings for instruction; (2) Evidence-base: The "SPG Evidence-base" details the…
Descriptors: Evidence Based Practice, Autism, Pervasive Developmental Disorders, Intervention
Griffin, W. – National Professional Development Center on Autism Spectrum Disorders, 2017
A hallmark of Autism spectrum disorder (ASD) is difficulties with social communication, and some learners with ASD experience additional deficits in expressive and/or receptive language that impair their ability to interact with others. However, a strength observed in many learners with ASD is responding to visual cues and structure. The use of…
Descriptors: Evidence Based Practice, Scripts, Autism, Pervasive Developmental Disorders