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Anne Wicks; Amanda Wirtz – George W. Bush Institute, 2024
Determining whether a state's young people are on track for a life of opportunity is a difficult task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and early childhood…
Descriptors: State Legislation, Data Analysis, Learning Analytics, Information Systems
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Alexander Skulmowski – Educational Psychology Review, 2024
Unnoticed by most, some technology corporations have changed their terms of service to allow user data to be transferred to clouds and even to be used to train artificial intelligence systems. As a result of these developments, remote data collection may in many cases become impossible to be conducted anonymously. Researchers need to react by…
Descriptors: Artificial Intelligence, Ethics, Research, Information Utilization
von Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
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Gibbs, Benjamin G.; Shafer, Kevin; Miles, Aaron – International Journal of Research & Method in Education, 2017
While the use of inferential statistics is a nearly universal practice in the social sciences, there are instances where its application is unnecessary and potentially misleading. This is true for a portion of research using administrative data in educational research in the United States. Surveying all research articles using administrative data…
Descriptors: Statistical Inference, Statistics, Data, Information Utilization
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Figlio, David; Karbownik, Krzysztof; Salvanes, Kjell – Education Finance and Policy, 2017
Thanks to extraordinary and exponential improvements in data storage and computing capacities, it is now possible to collect, manage, and analyze data in magnitudes and in manners that would have been inconceivable just a short time ago. As the world has developed this remarkable capacity to store and analyze data, so have the world's governments…
Descriptors: Educational Research, Data, Information Utilization, Management Information Systems
Chang, Hedy – Attendance Works, 2018
The California Department of Education (CDE) released statewide chronic absence data in December 2017 via DataQuest, an interactive data portal. To better understand chronic absence at the school level, Attendance Works collaborated with the Center for Regional Change at UC Davis and Children Now to analyze the data available from DataQuest and…
Descriptors: Attendance Patterns, Public Schools, Incidence, High School Students
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Schouten, Gina – Theory and Research in Education, 2017
It is treated as a truism that teaching well requires "meeting students where they are". Data enable us to know better where that is. Data can improve instructional practice by informing predictions about which pedagogies will be most successful for which students, and it can improve advising practice by informing predictions about which…
Descriptors: Data Analysis, Data Collection, Information Utilization, Higher Education
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Torii, Tomoko; Okada, Yuji – Higher Education Forum, 2017
This article reports the results of a nationwide questionnaire survey of 1,104 Japanese higher education institutions conducted in late 2015 and early 2016. Its goal was to investigate the current status and issues related to the utilization and disclosure of educational information. A total of 248 institutions responded to the survey. Based on…
Descriptors: Foreign Countries, Higher Education, Information Dissemination, Information Utilization
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Dishon, Gideon – Theory and Research in Education, 2017
Personalized learning has become the most notable application of big data in primary and secondary schools in the United States. The combination of big data and adaptive technological platforms is heralded as a revolution that could transform education, overcoming the outdated classroom model, and realizing the progressive vision of…
Descriptors: Data Collection, Data Analysis, Information Utilization, Individualized Instruction
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Adejo, Olugbenga; Connolly, Thomas – Journal of Education and Practice, 2017
The increase in education data and advance in technology are bringing about enhanced teaching and learning methodology. The emerging field of Learning Analytics (LA) continues to seek ways to improve the different methods of gathering, analysing, managing and presenting learners' data with the sole aim of using it to improve the student learning…
Descriptors: Higher Education, Program Implementation, Information Utilization, Evidence Based Practice
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Percell, Jay C. – Quarterly Review of Distance Education, 2016
Wikis continue to be used within technology environments of K-12 and higher education because they offer a collaborative environment for students to produce and receive content in concert with each other or on an individual basis (Kirkham, 2014). These online spaces are typically used as a course management system where students can both receive…
Descriptors: Data, Web 2.0 Technologies, Technology Uses in Education, Social Media
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Blaich, Charles; Wise, Kathleen – Research & Practice in Assessment, 2018
The Wabash National Study was created by the authors of this article in the early 2000s as a response to increasing pressure for institutions to get serious about assessment. The Wabash National Study was a multimillion dollar, 40-plus-institution, longitudinal research and assessment project that measured liberal learning outcomes and the good…
Descriptors: Information Utilization, Evidence Based Practice, Educational Assessment, Outcomes of Education
Data Quality Campaign, 2014
Data are more than just test scores, and by effectively accessing and using different types of data--such as attendance, grades, and course-taking--teachers, parents, and school and district leaders can help ensure that every student is on a path for success every day, not just at the end of the school year. The 10 State Actions to Ensure…
Descriptors: Data, Data Collection, Information Utilization, Educational Policy
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Friedrich, Daniel; Walter, Mia; Colmenares, Erica – Education Policy Analysis Archives, 2015
In this paper, we argue that in order to bind Teach For All's universalizing statement of problems and solutions to the specificities and the special conditions of member programs' local contexts, what is needed is a shared set of discursive practices, a way of bringing together the commonalities found in each country while separating the noise of…
Descriptors: Teacher Education, Global Approach, Educational Change, Data
Ruedel, Kristin; Nelson, Gena; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2018
The Tennessee Department of Education (TDOE) discovered that infants and toddlers who were referred for Part C services and initially found ineligible for a full evaluation through screening were being re-referred and later found eligible for services at a high rate. This report presents the systematic evaluation process that TDOE's Tennessee…
Descriptors: Educational Legislation, Federal Legislation, Equal Education, Disabilities
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