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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
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Love, Hailey R.; Horn, Eva; An, Zhe – Teacher Education and Special Education, 2019
Making data-based decisions is a pervasive expectation for educators and is linked to improved outcomes for students. Observational data collection for progress monitoring, in particular, can help educators track and support students' progress toward individualized educational goals in inclusive settings. Yet, many educators struggle with data…
Descriptors: Teaching Methods, Data Collection, Observation, Early Childhood Teachers
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Ahn, Jeong Yong; Mun, Gil Seong; Han, Kyung Soo; Choi, Sook Hee – Education and Information Technologies, 2017
As higher education increasingly relies on e-learning, the need for tools that will allow teachers themselves to develop effective e-learning objects as simply and quickly as possible has also been increasingly recognized. This article discusses the design and development of a novel tool, Enook (Evolutionary note book), for creating activity-based…
Descriptors: Higher Education, Programming, Electronic Learning, Educational Technology
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
Ruedel, Kristin; Nelson, Gena; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2018
To evaluate interim progress toward the State-identified Measurable Result (SIMR), states require access to high-quality data from local education agencies (LEAs) and early intervention service providers. In a review of 2017 Phase III State Systemic Improvement Plans (SSIP), 43 Part C states noted limitations or concerns related to data and…
Descriptors: Fidelity, Data Collection, State Standards, Barriers
LiBetti, Ashley; Schiess, Jennifer – Bellwether Education Partners, 2020
In Spring 2020, National Association of Charter School Authorizers (NACSA) convened a working group of authorizers and other stakeholders to learn more about the challenges they faced, given the data gaps caused by COVID-19, and to ask what guidance was needed for the sector to adapt to these unusual circumstances. Based on their feedback and…
Descriptors: Educational Quality, Measurement Techniques, Educational Indicators, Data Collection
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Van Norman, Ethan R.; Nelson, Peter M.; Parker, David C. – School Psychology Review, 2018
School psychologists regularly use decision rules to interpret student response to intervention in reading. Recent research suggests that the accuracy of those decision rules depends on the duration of progress monitoring, the number of observations available, and the amount of measurement error present. In this study, we extended existing…
Descriptors: Curriculum Based Assessment, School Psychologists, Decision Making, Accuracy
Center on Positive Behavioral Interventions and Supports, 2022
This practice guide is an updated version of "Supporting and Responding to Behavior: Evidence-based Classroom Strategies for Teachers" (see ED619696) that replaces, rather than supplements, the first version. This guide summarizes evidence-based, positive, and proactive practices that support and respond to students' social, emotional,…
Descriptors: Evidence Based Practice, Student Behavior, Intervention, Classroom Techniques
National Center on Safe Supportive Learning Environments, 2017
Improving school climate takes time and commitment from a variety of people in a variety of roles. This document outlines key action steps to engage students in the school climate improvement process. Key action steps are provided for the following strategies: (1) Participate in planning for school climate improvements; (2) Engage stakeholders in…
Descriptors: Educational Environment, Educational Improvement, Educational Strategies, Educational Planning
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Reinders, Hayo – JALT CALL Journal, 2018
If only we could know what our students were up to at any given moment in class. Who is paying attention, and who is falling asleep? Who understands the past perfect and who thinks it is about something wonderful that happened yesterday? And wouldn't it be great if we knew who is motivated and who is ready to drop out of the course? Language…
Descriptors: Data Collection, Data Analysis, Language Teachers, Learner Engagement
European Commission, 2019
The 2nd Survey of Schools: ICT in Education has two objectives: 1) Objective 1: Benchmark progress in ICT in Schools - to provide detailed and up-to-date information related to access, use and attitudes towards the use of technology in education by surveying head teachers, teachers, students and parents covering the EU28, Norway, Iceland and…
Descriptors: Information Technology, Computer Uses in Education, Technology Integration, Access to Computers
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Bruhn, Allison L.; McDaniel, Sara C.; Rila, Ashley; Estrapala, Sara – Beyond Behavior, 2018
Students who are at risk for or show low-intensity behavioral problems may need targeted, Tier 2 interventions. Often, Tier 2 problem-solving teams are charged with monitoring student responsiveness to intervention. This process may be difficult for those who are not trained in data collection and analysis procedures. To aid practitioners in these…
Descriptors: Progress Monitoring, Behavior Problems, Student Behavior, At Risk Students
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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
LiBetti, Ashley; Squire, Juliet; Schiess, Jennifer O'Neal – Bellwether Education Partners, 2020
This slide deck is a toolkit to help districts adapt existing school performance frameworks to the current moment or create new ones. These slides identify and walk through the fundamental questions districts need to consider in designing school performance frameworks that acknowledge the challenges that schools and students are facing, as well as…
Descriptors: School Districts, Educational Quality, Measurement Techniques, Educational Indicators
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