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Ellen B. Mandinach; Edith S. Gummer – Teachers College Record, 2025
Data ethics have emerged as an essential topic in education. Educators must know how to use data effectively and responsibly. This is a complex and systemic issue that involves bringing awareness to all stakeholders, building human capacity, modifying policy, and considering equitable solutions to data use. This article posits an initial framework…
Descriptors: Data Use, Ethics, Decision Making, Elementary Secondary Education
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Chinsook, Kittipong; Khajonmote, Withamon; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jantakoon, Thada – Higher Education Studies, 2022
Big data is an important part of innovation that has recently attracted a lot of interest from academics and practitioners alike. Given the importance of the education industry, there is a growing trend to investigate the role of big data in this field. Much research has been undertaken to date in order to better understand the use of big data in…
Descriptors: Student Behavior, Learning Analytics, Computer Software, Rating Scales
Cynthia N. Carvajal; Felecia Russell; Yadira Ortiz – Association for Institutional Research, 2024
Inclusivity in data reports for undocumented students can be difficult to achieve. By nature of those students' status and livelihood, there is contention among academics and practitioners on whether this is a population that should not be formally tracked or identified, for a variety of reasons. Concerns about tracking arise because of the…
Descriptors: Inclusion, Undocumented Immigrants, Critical Theory, Privacy
Data Quality Campaign, 2021
The 2020 election brought about legislative change across the country. New and veteran policymakers need information about the schools in their state. What programs are the most cost effective and work best for students? How can states attract and retain great teachers? What information do parents need to ensure that their kids are on track to…
Descriptors: Educational Policy, Policy Formation, Data Collection, Data Analysis
Anderson, Rachel – Institute for Higher Education Policy, 2019
State longitudinal data systems can be a powerful tool to support student success and spur equity-minded improvement throughout state education systems, but state policymakers must ensure that students' information is safe and secure. In a case study looking at Louisiana's efforts to secure student data, this profile illuminates some of the…
Descriptors: Data Collection, Privacy, Student Records, Data Use
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Harris, Lois; Wyatt-Smith, Claire; Adie, Lenore – Teachers and Teaching: Theory and Practice, 2020
Data walls are a data use practice increasingly being adopted in western, Anglophone countries to display student academic achievement data. The purpose of data walls is to improve teaching and learning by helping teachers and/or students to identify patterns of growth and achievement, set goals, and plan instructional interventions or…
Descriptors: Academic Achievement, Data Use, Teaching Methods, Goal Orientation
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Ferguson, Rebecca – Journal of Learning Analytics, 2019
This response to Neil Selwyn's paper, 'What's the problem with learning analytics?', relates his work to the ethical challenges associated with learning analytics and proposes six ethical challenges for the field.
Descriptors: Ethics, Data Analysis, Barriers, Justice
US Department of Education, 2020
The U.S. Department of Education's (Department) mission is to promote student achievement and preparation for global competitiveness by fostering educational excellence and ensuring equal access. The Department pursues its mission by establishing policies and distributing corresponding funds, focusing national attention on key educational issues,…
Descriptors: Public Agencies, Institutional Mission, Academic Achievement, Educational Policy
Data Quality Campaign, 2015
If our destination is improved student achievement, we cannot get there without valuing and effectively using data in education. Central to reaching this goal is building trust among all those who have a stake in education that individual student data, such as attendance, course taking, grades, and test scores, are being collected for meaningful…
Descriptors: Data Collection, Data Analysis, Academic Achievement, State Departments of Education
Data Quality Campaign, 2019
The most effective state efforts to improve student outcomes do not exist in a silo; they cut across multiple policy priorities to make data work for students. And while their crosscutting data initiatives can still be strengthened, some states are supporting schools with efforts that reach across the Data Quality Campaign's (DQC) Four Policy…
Descriptors: Data Analysis, Outcomes of Education, Educational Improvement, Educational Quality
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Macgilchrist, Felicitas – Learning, Media and Technology, 2019
As digital data become increasingly central to education, hopes for educational equity are pinned more strongly on educational technology providers. This paper examines the data practices of edtech providers who are not simply making token gestures towards justice and equality. Drawing on ethnographic interviews and Berlant's notion of cruel…
Descriptors: Educational Technology, Ethnography, Data Analysis, Equal Education
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Baum, Sandy; Cunningham, Alisa; Tanenbaum, Courtney – Change: The Magazine of Higher Learning, 2015
The level of educational attainment in the United States is a central focus of public policy. The Obama administration, some states, large national foundations, and other organizations have set near-term goals to increase the number of Americans with college degrees. Achieving these goals is likely to involve a combination of increasing…
Descriptors: Educational Attainment, Higher Education, Educational Policy, Goal Orientation
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Chaurasia, Sushil S.; Kodwani, Devendra; Lachhwani, Hitendra; Ketkar, Manisha Avadhut – International Journal of Educational Management, 2018
Purpose: Although big data analytics (BDA) have great benefits for higher education institutions (HEIs), due to lack of sufficient evidence on how BDA investment can pay off, it is tough for HEIs practitioners to realize value from such adoption. The purpose of this paper is to propose a big data academic and learning analytics enabled business…
Descriptors: Data Analysis, Higher Education, Academic Achievement, Excellence in Education
Data Quality Campaign, 2016
The Every Student Succeeds Act (ESSA) preserves the most positive legacy of the No Child Left Behind era--more accurate and transparent data about the performance of all students--and helps states take their efforts to use data in support of student learning to the next level. The Data Quality Campaign (DQC) appreciates the opportunity to provide…
Descriptors: Educational Legislation, Federal Legislation, Educational Quality, Quality Assurance
Warren, Constancia; Rennie-Hill, Leslie; Pfeiffer, Jay Jordon – US Department of Education, 2012
The emergence of longitudinal data systems over the past decade has provided exciting opportunities to better understand students' educational trajectories over time and institutions. The stark reality for today's high school students is that some form of postsecondary education is a necessary ticket of entry to a secure economic future. This…
Descriptors: Data Use, Postsecondary Education, College Readiness, Access to Education
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