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Data Quality Campaign, 2024
Recent data from statewide assessments, scores on the National Assessment of Educational Progress (NAEP), and college remediation needs show that an increasing number of K-12 students are not performing at grade level. As schools look to support these students' learning, some districts are turning to a proven strategy for identifying the students…
Descriptors: National Competency Tests, Academic Achievement, Elementary Secondary Education, At Risk Students
Karin Hess – Teachers College Press, 2025
For more than 2 decades, Karin Hess has worked with the concept of depth of knowledge (DOK) and expanded applications of cognitive rigor across content areas and grade levels, proving that every student can experience deeper learning. This interactive book offers a self-guided journey beginning with the basics: what DOK is, what it is not, and…
Descriptors: Knowledge Level, Misconceptions, Difficulty Level, Academic Standards
Robert Meyer; Sara Hu; Michael Christian – Society for Research on Educational Effectiveness, 2023
Background: This paper develops a new method to estimate quasi-experimental evaluation models when it is necessary to control for measurement error in predictors and individual assignment to the treatment group is based on these same fallible variables. A major methodological finding of the study is that standard methods of estimating models that…
Descriptors: Error of Measurement, Measurement Techniques, Elementary Secondary Education, Report Cards
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
Huang, Tiedan; Benoliel, Pascale – International Journal of Educational Management, 2023
Purpose: This study aims to test the mediated effect of school climate in the relationship of principal time use (PTU) to student academic achievement using data from Singapore's 2011 Trends in International Mathematics and Science Study (TIMSS). Design/methodology/approach: Capitalizing on the large-scale data, the study examined how Singapore…
Descriptors: Principals, Time Factors (Learning), Academic Achievement, Foreign Countries
Blumenthal, Stefan; Blumenthal, Yvonne; Lembke, Erica S.; Powell, Sarah R.; Schultze-Petzold, Patricia; Thomas, Elizabeth R. – Journal of Learning Disabilities, 2021
The purpose of this explorative study was to examine the use and understanding of key components of data-based decision making by educators in two countries--Germany and the United States. Educators responded to a survey that asked about data use and characteristics related to data-based decision making (DBDM). Results suggest educators in both…
Descriptors: Teacher Attitudes, Data Use, Decision Making, Progress Monitoring
Doubet, Kristina J. – ASCD, 2022
Want to make your instruction more equitable and effective, more interesting, and more fun? It's time to try flexible grouping. Unlike traditional grouping, which typically puts like with like or combines students without regard to the best way to promote their individual growth, flexible grouping is both purposeful "and" fluid,…
Descriptors: Grouping (Instructional Purposes), Individualized Instruction, Educational Strategies, Group Activities
Swain, Kristine D.; Hagaman, Jessica L.; Leader-Janssen, Elizabeth M. – Preventing School Failure, 2022
Utilizing effective data collection methods to track student progress on Individual Education Program (IEP) goals is essential to quality programming and meeting each student's specific needs. This study surveyed special education teachers in four midwestern states to understand IEP data collection methods and assessment training. Results…
Descriptors: Data Collection, Progress Monitoring, Individualized Education Programs, Special Education
Chad J. Coleman – ProQuest LLC, 2021
Determining which students are at-risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of both research and practice in K-12 education. The models produced from this type of predictive modeling research are increasingly used by high schools in Early Warning…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Elementary Secondary Education
Nancy Montes; Fernanda Luna – UNESCO International Institute for Educational Planning, 2024
This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…
Descriptors: Data Collection, Data Use, At Risk Students, Foreign Countries
Allen, Daniel – Harvard Education Press, 2022
"The Instructional Leadership Cycle" introduces a multifaceted model for continuous school and system improvement, founded on an adaptable set of professional practices for K-12 leaders. Daniel Allen draws on a breadth of education system experience, spanning from classroom to top office, to outline a flexible framework--the…
Descriptors: Instructional Leadership, Elementary Secondary Education, Educational Improvement, Leadership Responsibility
Mouza, Chrystalla; Sheridan, Scott; Lavigne, Nancy C.; Pollock, Lori – Computer Science Education, 2023
Background and Context: A key challenge in advancing computer science education in K-12 schools is teacher preparation and support. School-university partnerships and service-learning programs where undergraduates assist teachers represent one promising approach to supporting K-12 computer science teaching. Objectives: In this work, we examine the…
Descriptors: Undergraduate Students, Elementary Secondary Education, Computer Science Education, College School Cooperation
Wicks, Anne; Taylor-Raymond, Justine – George W. Bush Institute, 2023
It is clear that young people bore the brunt of the pandemic's impact. Disrupted learning, sometimes stretching for two years, forced many students off track and behind academically. Leaders are now faced an unprecedented need to make smart investments with federal relief funds in efforts that accelerate student learning. District leaders should…
Descriptors: COVID-19, Pandemics, Elementary Secondary Education, Federal Aid
Andrea L. Ruppar; Jennifer Kurth – Brookes Publishing Company, 2023
Students who have the most significant support needs are at high risk for exclusion from general education. Unlock access to inclusive education for these learners with this forward-thinking book, a step-by-step guide to person-centered, strengths-based, and meaningful IEPs for K-12 students with complex support needs. This practical text shows…
Descriptors: Inclusion, Elementary Secondary Education, Students with Disabilities, Individualized Education Programs
Heck, Olivia C.; Komer, Jack; Ormiston, Heather E. – Communique, 2022
The COVID-19 pandemic thrust the field of school psychology into unchartered territory--navigating how to continue to serve students in need via a virtual format while attempting to adhere to best practices. During this time, the team at Indiana University began implementing trauma-informed multitiered systems of support (TI-MTSS), more…
Descriptors: Measurement Techniques, Progress Monitoring, Multi Tiered Systems of Support, Trauma Informed Approach