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Travis, Tiffini A.; Ramirez, Christian – portal: Libraries and the Academy, 2020
Libraries remain one of the last places on campus where the purging of usage data is encouraged and "tracking" is a dirty word. While some libraries have demonstrated the usefulness of analytics, opponents bring up issues of privacy and debate the feasibility of student-generated library data for planning and assessment. Using a study…
Descriptors: Academic Libraries, Data Collection, Learning Analytics, Ethics
Hunt Institute, 2022
From Fall 2019 through Spring 2020, The Hunt Institute released a series of policy briefs, "Attainment for All: Postsecondary Pathways," that highlighted scalable state-level strategies to boost postsecondary attainment rates among specific student subpopulations including high school graduates, first-generation students, and adult…
Descriptors: Educational Attainment, Postsecondary Education, Equal Education, Access to Education
Khalila, Mohammad; Ebner, Martin – Journal of Learning Analytics, 2016
Learning analytics has reserved its position as an important field in the educational sector. However, the large-scale collection, processing, and analyzing of data has steered the wheel beyond the borders to face an abundance of ethical breaches and constraints. Revealing learners' personal information and attitudes, as well as their activities,…
Descriptors: Educational Research, Data Collection, Data Analysis, Technology Uses in Education
Swail, Watson Scott; Fung-Angarita, Maly – Educational Policy Institute, 2018
The issue of student retention and graduation from postsecondary institutions has grown in stature over the past decade. While the last 40 years of federal and state policies have focused largely on access to college, there is now a very real interest in not only getting students into college but also helping them earn baccalaureate and other…
Descriptors: Data Collection, Postsecondary Education, College Students, School Holding Power
US House of Representatives, 2015
This paper presents the first joint hearing of the Subcommittee on Cybersecurity, Infrastructure Protection, and Security Technologies of the Committee on Homeland Security and the Subcommittee on Early Childhood, Elementary, and Secondary Education of the Committee on Education and the Workforce. The subcommittees met to examine data collection…
Descriptors: Privacy, Data Analysis, Information Security, Computer Security
Afterschool Alliance, 2014
The Afterschool Alliance, in partnership with MetLife Foundation, is proud to present the final issue brief in their latest series of four issue briefs examining critical issues facing middle school youth and the vital role afterschool programs play in addressing these issues. This brief explores afterschool and data utilization to improve…
Descriptors: After School Programs, Middle School Students, Academic Standards, Student Needs
Wolf, Mary Ann; Jones, Rachel; Hall, Sara; Wise, Bob – Alliance for Excellent Education, 2014
The field of learning analytics is being discussed in many circles as an emerging concept in education. In many districts and states, the core philosophy behind learning analytics is not entirely new; for more than a decade, discussions of data-driven decision making and the use of data to drive instruction have been common. Still, the U.S.…
Descriptors: Educational Research, Data Collection, Data Analysis, Capacity Building
Vuong, Bi – Pathways to College Network, 2011
As policymakers consider strategies to increase college completion and further economic growth, it is critical that statewide longitudinal data systems be viewed as a necessary tool. This report highlights the role of data systems in improving the completion of postsecondary education, and provides recommendations and tangible examples for…
Descriptors: Postsecondary Education, Graduation, College Graduates, Data Collection
Pulley, John – Lumina Foundation for Education, 2010
Institutions--even entire sectors of the education system--too often operate independently of each other, maintaining discrete student-record systems. This makes it difficult to trace a student's progress through higher education and into the workforce--and that disconnection hampers efforts to improve the system. Only by systematically collecting…
Descriptors: Student Records, Data Collection, Data Analysis, Elementary Secondary Education
Kanstoroom, Marci, Ed.; Osberg, Eric C., Ed. – Thomas B. Fordham Institute, 2008
America brims with education data and these days it seems everyone in education claims to be guided by data. In this book, leaders and scholars map the landscape of data providers and users and explores why what is supplied by the former but frequently fails to meet the needs of the latter. It documents the barriers to collecting good information,…
Descriptors: Education, Data, Data Analysis, Data Collection
US Department of Education, 2007
Conducting scientifically rigorous evaluations of character education interventions is complex. This evaluation guide is presented as a resource primarily for project directors who are federal grantees embarking on an evaluation of a character education intervention, although it contains useful information that can benefit other education…
Descriptors: Evaluators, Intervention, Exhibits, Evaluation Methods
National Archives and Records Administration, 2009
The Secretary of Education (Secretary) establishes requirements, definitions, and approval criteria for the State Fiscal Stabilization Fund (Stabilization or SFSF) program. The Secretary may use one or more of these requirements, definitions, and approval criteria in awarding funds under this program in fiscal year (FY) 2010. These requirements,…
Descriptors: Educational Finance, Resource Allocation, Financial Support, Criteria
Winterbottom, John A. – 1977
A number of problems faced by the custodians of large collections of data which are potentially useful for research in the behavioral sciences, are addressed in this presentation. These problems relate to the rights of individuals who provide research data, to questions of "informed consent", and to the circumstances under which the…
Descriptors: Behavioral Science Research, Confidentiality, Data Analysis, Data Collection