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Digital Promise, 2021
The Powerful Learning with Computational Thinking report explains how the Digital Promise team works with districts, schools, and teachers to make computational thinking ideas more concrete to practitioners for teaching, design, and assessment. We describe three powerful ways of using computers that integrate well with academic subject matter and…
Descriptors: Computation, Thinking Skills, Computer Uses in Education, Data Collection
American Institutes for Research, 2023
In 2022, the Indigenous Education State Leaders Network (IESLN) and the American Institutes for Research (AIR) received a 4-year Educational Equity in Policy Implementation grant from the AIR Equity Initiative to study Indigenous student identification issues and respond to needs in the field. The Indigenous Student Identification (ISI) project…
Descriptors: Elementary Secondary Education, Indigenous Populations, Minority Group Students, American Indian Students
Education Trust-West, 2020
For over 5 years, The Education Trust-West's #Data4ThePeople campaign has been a statewide effort to ensure California builds a data system that is designed with achieving equity and the needs of students, parents, and families at the center. Now with school and college closures caused by COVID-19 posing a real challenge to data accessibility and…
Descriptors: Equal Education, School Closing, COVID-19, Data Collection
Hamayan, Else; Marler, Barbara; Sánchez-López, Cristina; Alfredo, Artiles; Damico, Jack – Brookes Publishing Company, 2023
Multilingual learners in Grades K-12 are often overidentified or underidentified for special education. The third edition of this groundbreaking text offers a better way to meet the needs of multilingual learners: by creating a culturally and linguistically responsive multi-tiered system of support (MTSS) and implementing a continuum of services…
Descriptors: Elementary Secondary Education, Multilingualism, Multi Tiered Systems of Support, Student Needs
Mitrovic, Antonija, Ed.; Bosch, Nigel, Ed. – International Educational Data Mining Society, 2022
For this 15th iteration of the International Conference on Educational Data Mining (EDM 2022), the conference was held in Durham, England, with an online hybrid format for virtual participation as well. EDM is organized under the auspices of the International Educational Data Mining Society. The theme of this year's conference is Inclusion,…
Descriptors: Information Retrieval, Data Analysis, Feedback (Response), Inclusion
Tipton, Elizabeth; Olsen, Robert B. – National Center for Education Evaluation and Regional Assistance, 2022
This guide will help researchers design and implement impact studies in education so that the findings are more generalizable to the study's target population. Guidance is provided on key steps that researchers can take, including defining the target population, selecting a sample of schools--and replacement schools, when needed--managing school…
Descriptors: Outcome Measures, Evaluators, Educational Researchers, Educational Research
Saenz-Armstrong, Patricia – National Council on Teacher Quality, 2022
Over the last couple of years, we have seen increased concerns about the teacher workforce and intensified news reporting describing teacher shortages. In response, many states have enacted policies largely in the absence of data on the precise nature of their staffing challenges, such as lowering standards across the board for entry into…
Descriptors: Teacher Shortage, Data Collection, Labor Force, Faculty Mobility
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
National Forum on Education Statistics, 2021
In spring 2020, nearly all school districts across the nation transitioned to virtual education during extended school closures caused by the coronavirus disease (COVID-19) pandemic. K-12 education agencies pivoted to virtual education in a short amount of time with limited options available for developing a virtual education program. This…
Descriptors: Electronic Learning, Elementary Secondary Education, Data Collection, Data Use
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
Hillman, Velislava – Learning, Media and Technology, 2023
The need for a comprehensive education data governance -- the regulation of who collects what data, how it is used and why -- continues to grow. Technologically, data can be collected by third parties, rendering schools unable to control their use. Legal frameworks partially achieve data governance as businesses continue to exploit existing…
Descriptors: Data Collection, Governance, Data Use, Laws
Data Quality Campaign, 2022
Each year, state legislators craft new policies that drive data use across their states, and as part of a comprehensive review of state education data legislation, the Data Quality Campaign (DQC) keeps track. In 2022, state legislators introduced 131 bills in 35 states--42 of which became law in 17 states-- that would govern the use of data along…
Descriptors: Privacy, State Legislation, Student Records, Confidentiality
Danible, Kaitlin; Panizza, Chloe; Boushey, Carol; Kerr, Deborah; Zhu, Fengqing; Banna, Jinan C. – Journal of Extension, 2021
The mobile food record™ (mFR™) is a novel app that allows for the tracking of individual food waste and addresses the limitations of current methods to accurately quantify food waste. Extension educators may use data from the mFR™ to create educational initiatives for food waste prevention and education that may be implemented in settings such as…
Descriptors: Food, Measurement, Computer Oriented Programs, Extension Education
Rwitajit Majumdar; Huiyong Li; Yuanyuan Yang; Hiroaki Ogata – Educational Technology & Society, 2024
Self-direction skill (SDS) is an essential 21st-century skill that can help learners be independent and organized in their quest for knowledge acquisition. While some studies considered learners from higher education levels as the target audience, providing opportunities to start the SDS practice by K12 learners is still rare. Further, practicing…
Descriptors: 21st Century Skills, Skill Development, Electronic Learning, Physical Activity Level