NotesFAQContact Us
Collection
Advanced
Search Tips
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 38 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Jenay Robert; Kathe Pelletier; Betsy Tippens Reinitz – Strategic Enrollment Management Quarterly, 2024
In today's digital world, higher education institutions collect and use more data than ever. However, institutional silos create barriers for stakeholders who need data for daily operations and strategy. This article presents a vision of a unified, collaborative future for data governance and actionable steps stakeholders can take.
Descriptors: Data Analysis, Data Collection, Information Management, Governance
National Council on Teacher Quality, 2025
Despite enacting well-intentioned policies to improve teacher recruitment and retention, many states continue to face significant staffing challenges, particularly in high-need schools and hard-to-staff subjects such as math, science, and special education. Two years ago, the National Council on Teacher Quality (NCTQ) set out to explore the…
Descriptors: Teacher Shortage, Teacher Recruitment, Data Collection, Information Management
Peer reviewed Peer reviewed
Direct linkDirect link
Knipe, Sally – Educational Practice and Theory, 2022
This article presents a descriptive, critical analysis of the comparability of information concerning students, teachers, and school resources gathered by organisations within government jurisdiction, and the pitfalls for the unwary researcher using government data banks. Differences in the method of compiling information about citizens, and…
Descriptors: Educational Research, Educational Researchers, Data Collection, Data Analysis
Nancy Smith; Claus von Zastrow – Education Commission of the States, 2022
When the COVID-19 pandemic drove schools online in March 2020, state education leaders were left without access to data needed to understand how best to support students. The pandemic revealed the strengths and limitations of state education data systems while inspiring new strategies for collecting, reporting and using data. In 2021, DataSmith…
Descriptors: State Departments of Education, Data, Data Collection, Pandemics
Peer reviewed Peer reviewed
Direct linkDirect link
Miguel, Hugo Gonzaga; Ramos, Pedro; da Cruz Martins, Susana; Costa, Joana Martinho – Education for Information, 2020
One of the most widely researched issue on higher education relates to exposed paths that lead to academic success. Nowadays information systems represent an essential part of the education sector in many universities. In particular, the increasing of the number of students in higher education in Portugal leads to the progressive increase of…
Descriptors: Foreign Countries, Educational Research, Higher Education, Academic Achievement
Education Trust-West, 2024
In 2019, California passed legislation that called for the creation of its longitudinal data system, the Cradle-to-Career (C2C) Data System. Since then, the state has allocated $40.52 million in funding to support the agency's efforts. Given the substantial state investment and the potential for more, better, and accessible data to answer critical…
Descriptors: State Programs, Statewide Planning, Data Collection, Information Dissemination
O'Hara, Amy – Institute for Higher Education Policy, 2019
Our current federal postsecondary data system is incomplete and fails to provide today's students with the accurate, timely information that they need to inform their college choices and promote their success. As policymakers consider proposals to improve this federal data system, they should model best practices of responsible data-use to ensure…
Descriptors: Postsecondary Education, Information Dissemination, Information Management, Information Security
Peer reviewed Peer reviewed
Direct linkDirect link
Amiraullt, Ray J. – Quarterly Review of Distance Education, 2019
The educational setting has been the backdrop for numerous debates as far back as recorded history. Today's educational setting, however, contains technological elements so advanced that they by their very nature bring with them a series of highly significant implications which educators have never before been required to address. These issues…
Descriptors: Educational Technology, Technology Uses in Education, Ownership, Privacy
Peer reviewed Peer reviewed
Direct linkDirect link
Drake, Brent M.; Walz, Aaron – New Directions for Institutional Research, 2018
Over the past 20 years, many colleges and universities have made significant progress in building data warehouses and implementing business intelligence tools to provide better access to administrative data that were previously locked away in enterprise systems. However, the data architectures from the 1990s and 2000s are aging as new technologies…
Descriptors: Higher Education, Business, Intelligence, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Yinying – TechTrends: Linking Research and Practice to Improve Learning, 2016
Against the backdrop of the ever-increasing influx of big data, this article examines the opportunities and concerns over big data in education. Specifically, this article first introduces big data, followed by delineating the potential opportunities of using big data in education in two areas: learning analytics and educational policy. Then, the…
Descriptors: Educational Research, Data Collection, Data Analysis, Educational Policy
Peer reviewed Peer reviewed
Direct linkDirect link
Gagliardi, Jonathan; Parnell, Amelia; Carpenter-Hubin, Julie – Change: The Magazine of Higher Learning, 2018
Over the last two years, more data was created than in the entire previous history of humankind (IBM, 2016; Marr, 2016). Roughly 1.7 megabytes of new information will be created every second for every person on earth by the turn of the decade (Evans, 2011; Gantz & Reinsel, 2012; Marr, 2016). Data are created continuously and at a rate that is…
Descriptors: Data Collection, Data Analysis, Higher Education, Decision Making
State Council of Higher Education for Virginia, 2019
"The Virginia Plan for Higher Education" articulates the objective that the Commonwealth will be the best-educated state by 2030. To achieve this objective, Virginia not only must increase educational-attainment rates, but also close the gaps in the differing rates of attainment that exist across its population and its regions. The…
Descriptors: Educational Attainment, Higher Education, Data Use, State Policy
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Levina, Elena Y.; Voronina, Marianna V.; Rybolovleva, Alla A.; Sharafutdinova, Mariya M.; Zhandarova, Larisa F.; Avilova, Vilora V. – International Journal of Environmental and Science Education, 2016
The research urgency is caused by necessity to develop the informational support for management of development of higher education in conditions of high turbulence of external and internal environment. The purpose of the paper is the development of methodology for structuring and analyzing datasets of educational activities in order to reduce…
Descriptors: Higher Education, Educational Administration, Information Technology, Information Management
Rankin, Jenny Grant; Johnson, Margie; Dennis, Randall – Online Submission, 2015
When many people hear the term "big data", they primarily think of a technology tool for the collection and reporting of data of high variety, volume, and velocity. However, the complexity of big data is not only the technology, but the supporting processes, policies, and people supporting it. This paper was written by three experts to…
Descriptors: Data Collection, Information Technology, Data Analysis, Information Systems
Perry, Angela – Project on Student Debt, 2019
California has long been a national and global leader in developing and maintaining quality higher education options, as well as in providing financial aid and consumer protections for Californians who access that education. However, although California's colleges and the state government do collect, receive, and report a great deal of data, these…
Descriptors: Education Work Relationship, Access to Information, Wages, Data Collection
Previous Page | Next Page ยป
Pages: 1  |  2  |  3