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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
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
Moore, Colleen; Bracco, Kathy Reeves; Nodine, Thad; Esch, Camille; Grubb, Brock – Education Insights Center, 2019
California does not have a statewide data system that tracks student progress through K-12 and higher education and into the workforce. As a result, educators and policymakers cannot answer critical questions about student progress, which limits their ability to make evidence-based changes to support better and more equitable opportunities for…
Descriptors: Progress Monitoring, Data Collection, Elementary Secondary Education, Higher Education
Jonathan L. Loveall – ProQuest LLC, 2022
In the 1995 legislation establishing charter schools in the state of Louisiana, the Louisiana Legislature indicated their intention "that the best interests of at-risk pupils be the overriding consideration in implementing the provisions of this Chapter" (Charter School Demonstration Programs, 1997). Furthermore, the legislation required…
Descriptors: Students with Disabilities, Charter Schools, State Legislation, Progress Monitoring
Hartong, Sigrid – Critical Studies in Education, 2021
This contribution takes a critical perspective on digital school performance platforms (SPP), which today play a key role in US state education monitoring and accountability. Using examples from two different US state education agencies, I provide an analytical disentanglement of some key dimensions of such platforms' enactment and materiality. I…
Descriptors: State Departments of Education, Technology Uses in Education, Performance, Accountability
Knight, Rupert; Sullivan, Stefanie – Journal of Education for Teaching: International Research and Pedagogy, 2022
Initial Teacher Education (ITE) is inherently complex. Challenges include the uncertain nature of teacher knowledge, the need to learn in both practical and theoretical contexts and the developmental journey of the beginning teacher. While one response to this complexity is greater standardisation, another is to foster thinking, autonomous…
Descriptors: Preservice Teacher Education, Teacher Education Programs, Elementary Secondary Education, Preservice Teachers
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
Woods, Julie; Rafa, Alyssa – Education Commission of the States, 2018
This special report -- informed by the Education Commission of the States' March 2018 School Improvement Thinkers Meeting -- guides state leaders toward a better understanding of how to improve lower-performing schools. This brief contains questions in four key areas to provide a road map for digging into school improvement systems and orienting…
Descriptors: Educational Improvement, Change Strategies, Educational Objectives, Public Education
Kostyo, Stephen; Cardichon, Jessica; Darling-Hammond, Linda – Learning Policy Institute, 2018
This policy brief is part of a larger research report, "Making ESSA's Equity Promise Real: State Strategies to Close the Opportunity Gap," that describes how states are using opportunities in ESSA [Every Student Succeeds Act] to better support historically underserved students through the thoughtful selection of specific equity measures…
Descriptors: Accountability, State Standards, Equal Education, Suspension
Moore, Colleen; Bracco, Kathy Reeves – Education Insights Center, 2018
In the first of this four-part series of policy briefs on student data in California, we noted a disconnect in the views of state policy staff and local educators on the need for a statewide longitudinal student data system (see "About This Series"). The local educators we interviewed expressed a readiness to participate in a state data…
Descriptors: Partnerships in Education, Educational Policy, Instructional Improvement, Student Records
Mehrotra, Sarah; Morgan, Ivy S.; Socol, Allison – Education Trust, 2021
While new teachers bring energy and passion into their classrooms and schools, they can find themselves incredibly challenged as they learn how to plan and implement lessons, collect and use data to inform their instructional practices, build relationships with students and families, manage classroom behavior, and meet the varying academic,…
Descriptors: African American Students, Experienced Teachers, Educational Quality, Teacher Competencies
Mehrotra, Sarah; Morgan, Ivy S.; Socol, Allison – Education Trust, 2021
While new teachers bring energy and passion into their classrooms and schools, they can find themselves incredibly challenged as they learn how to plan and implement lessons, collect, and use data to inform their instructional practices, build relationships with students and families, manage classroom behavior, and meet the varying academic,…
Descriptors: Experienced Teachers, Educational Quality, Teacher Competencies, Beginning Teachers
Morin, K. L. – National Professional Development Center on Autism Spectrum Disorders, 2018
This evidence-based practice overview on Extinction (EXT) 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 "EXT Evidence-base" details the NPDC…
Descriptors: Autism, Pervasive Developmental Disorders, Evidence Based Practice, Behavior Modification