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Julie Fitz; Julie Woods; Naomi Duran; Jennifer McCombs – Learning Policy Institute, 2025
As federal funding for summer learning as a pandemic recovery strategy phases out, state governments face decisions about their future role in supporting students' access to quality summer learning opportunities. This brief is based on the full report, "How States Are Expanding Quality Summer Learning Opportunities," and summarizes…
Descriptors: Summer Programs, Educational Opportunities, Educational Quality, Regional Characteristics
Morris, Kelsey; Feinberg, Adam – Center on Positive Behavioral Interventions and Supports, 2022
Prioritizing social, emotional, and behavioral supports is essential for student success. By establishing systems to support students' social (how they interact), emotional (how they feel), and behavioral (how they act) needs and growth, educators and leaders can ensure that all students have full access to instruction and the essential skills for…
Descriptors: Fidelity, Data Collection, Positive Behavior Supports, Multi Tiered Systems of Support
Belastock, Eileen – Education Next, 2022
Of the 17 industries studied by information-security company SecurityScorecard, the education sector ranked as the least secure in 2018, with the highest vulnerabilities present in application security, endpoint security, and keeping software up to date. Online learning, which has increased gradually over the past decade and significantly since…
Descriptors: Information Security, Computer Security, Data, Information Technology
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
Hoffman, Nancy; O'Connor, Anna; Mawhinney, Joanna – Jobs for the Future, 2022
The purpose of this brief is to provide school-level examples of how early college practitioners are collecting and using data to improve their practices. Examples three and four are school-level data from two early college partnerships: the MetroWest CPC (Framingham, Milford, Waltham), and Lawrence. The brief begins, however, with the national…
Descriptors: College School Cooperation, Partnerships in Education, High Schools, Universities
Region 9 Comprehensive Center, 2021
The COVID-19 pandemic has created an unprecedented challenge for state, district, and school leaders across the country. Whether states and districts mandate or choose an in-person or remote model or a hybrid model, which includes some aspect of virtual learning, ensuring that vulnerable students and teachers have a remote learning option has…
Descriptors: Distance Education, Blended Learning, Educational Quality, Learner Engagement
Region 9 Comprehensive Center, 2021
The COVID-19 pandemic has created an unprecedented challenge for state, district, and school leaders across the country. Whether states and districts mandate or choose an in-person or remote model or a hybrid model, which includes some aspect of virtual learning, ensuring that vulnerable students and teachers have a remote learning option has…
Descriptors: Distance Education, Blended Learning, Educational Quality, Data Collection
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
Cherese Childers-McKee; Sara Ewell; Joan Giblin; Joseph McNabb; Melissa Parenti – Impacting Education: Journal on Transforming Professional Practice, 2024
Northeastern University's EdD faculty faced unique challenges during the pandemic and racial reckoning following George Floyd's murder. During this period, however, we found opportunities to adapt and improve our program. We prioritized compassion and connection. We made significant strides in curriculum development through design and…
Descriptors: Doctoral Programs, Program Improvement, Curriculum Development, Program Design
Data Quality Campaign, 2022
Disaggregated data and information on other equity-focused indicators provides families with the information they need to truly understand how their students are supported in the classroom and ensure that leaders are directing supports to the students who need them most. But DQC's "Show Me the Data" review of 2021 state report cards…
Descriptors: Data Collection, Academic Achievement, Equal Education, Teacher Characteristics
Yan, Donghui; Davis, Gary E. – Journal of Statistics Education, 2019
"Data science" is a discipline that provides principles, methodology, and guidelines for the analysis of data for tools, values, or insights. Driven by a huge workforce demand, many academic institutions have started to offer degrees in data science, with many at the graduate, and a few at the undergraduate level. Curricula may differ at…
Descriptors: Introductory Courses, Statistics, Data Analysis, Undergraduate Study
Mariann Lemke; Dan Murphy; Aaron Soo Ping Chow; Angela Acuña – WestEd, 2024
Beginning with the 2020/21 school year, the Massachusetts Department of Elementary and Secondary Education (DESE) began an ongoing effort to collect and analyze literacy screening assessment data from schools and districts participating in certain state grants to inform improvement efforts. Grantee schools and districts that provide literacy…
Descriptors: Grants, Benchmarking, At Risk Students, Reading Difficulties
Center on Standards and Assessments Implementation, 2018
The recommendations in this brief create a framework for using data effectively to make instructional decisions. The availability of student-level data for educators has pushed forward the movement to strengthen the role of data to guide instruction and improve student learning. While improvements in technology and assessments, as well as recent…
Descriptors: Student Evaluation, Information Utilization, Data Collection, Data Analysis
Sagrans, Jacob; Mokros, Janice; Voyer, Christine; Harvey, Meggie – Science Teacher, 2022
The use of large, open-source data sets is ubiquitous in scientific research. Scientists--ranging from meteorologists to chemists to epidemiologists--are researching and investigating critical questions using data that they have not themselves collected. To contribute to the growing effort to bring data science into classrooms, the authors have…
Descriptors: Data Analysis, Science Instruction, High School Teachers, Science Teachers
Data Quality Campaign, 2020
States can and should continue to measure student growth in 2021. Growth data will be crucial to understanding how school closures due to COVID-19 have affected student progress and what supports they will need to get back on track. Education leaders will also need growth data to ensure that any recovery efforts are equitable as well as effective…
Descriptors: Student Evaluation, Growth Models, State Policy, State Standards

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