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Jason Williams – Solution Tree, 2025
Author Jason Williams develops a framework that balances data-based decision making with a deep consideration for addressing students' unique needs to foster improved learning outcomes. Focusing on five qualities integral to a healthy data culture, Williams offers educators a simple, reliable way to assess and reconsider their data practices to…
Descriptors: Shared Resources and Services, Information Dissemination, Information Management, Data
Sean M. Baser; Mónica Maldonado; Matt T. Dean; William B. Walker Jr.; Erik C. Ness – State Higher Education Executive Officers, 2025
States serve as the central authority in higher education oversight, playing a critical role in consumer protection and quality assurance within the regulatory triad and as an independent regulatory entity. However, there is a notable gap in understanding the components of renewal processes, how agencies implement them in practice, and the…
Descriptors: State Agencies, Accountability, State Regulation, Governance
Ian Hardy – Professional Development in Education, 2024
Schooling in Australia has become subject to increased processes of data-based governance. This article draws upon the insights of an experienced teacher, 'Meriam', who, having taught more than 34-years over almost a 50-year span, reflected upon the nature of such changes. Utilising theorising in relation to datafication processes and…
Descriptors: Foreign Countries, Experienced Teachers, Teacher Attitudes, Educational Change
Meholick, Sarah; Honey, Rose; LaTurner, Jason – National Center for Education Statistics, 2023
Statewide longitudinal data systems (SLDSs) can enable researchers, policymakers, and practitioners to identify and understand important relationships and trends across the education-to-workforce continuum. A well-developed SLDS can increase state and territory governments' ability to establish more informed and equitable policies, enable agency…
Descriptors: Longitudinal Studies, State Programs, State Policy, Data Collection
Catherine Ferguson – Issues in Educational Research, 2025
The use of artificial intelligence (AI) in higher education has mostly focused on issues associated with teaching and assessment. In this paper I used AI to support the analysis of data which consisted of public comments on a newspaper article. This small, low risk research was chosen to demonstrate the potential use of AI and how it may support…
Descriptors: Artificial Intelligence, Data Analysis, Technology Uses in Education, Higher Education
Elizabeth Foster – Learning Professional, 2025
Evaluation data helps inform decision-makers about the time, human capital, and funding required for professional learning to be effective. Evaluation data also guides program improvement and sets leaders' expectations for ongoing monitoring and accountability. The complexities of the educational systems in which professional learning happens mean…
Descriptors: Professional Development, Evaluation, Data Collection, Accountability
'Accountable to Whom, for What, and through What Means': Educational Developers in the Audit Culture
Raffoul, Jessica; Skene, Allyson; Chittle, Laura; Kartolo, Arief – International Journal for Academic Development, 2023
Higher education has faced increased pressure to prove its quality through 'economic efficiency' and 'value for money', thrusting institutions into what researchers call an 'audit culture'. This study explores whether and how the audit culture has impacted educational developers in Canadian post-secondary institutions. Results include a summary of…
Descriptors: Accountability, Educational Development, Audits (Verification), Higher Education
Elliott Ostler; Tami Williams; John Schultz – School Leadership Review, 2025
In today's data-driven and data-informed educational landscape, leaders face increasing pressure to make decisions and present results based on what appear to be comprehensive statistical analyses. However, the ethical implications of these responsibilities can be complex, particularly when statistical results carry the potential to be…
Descriptors: Data Analysis, Statistical Analysis, Data Use, Ethics
Hanson, Jana M.; Moore, Erica J.; Morseau, Amber; Taylor, Darius D. – Tribal College Journal of American Indian Higher Education, 2023
The U.S. Department of Education has required educational collection and reporting. For postsecondary institutions, this requirement has evolved from the Higher Education General Information Survey (HEGIS), which was used from the 1960s to the 1980s, to the Integrated postsecondary Education Data System (IPEDS) (Aliyeva, Cody, & Low, 2018).…
Descriptors: Evaluation Methods, Tribally Controlled Education, Minority Serving Institutions, Data Collection
Paige Kowalski – State Education Standard, 2024
Everyone who uses student information has a responsibility to maintain students' privacy and the security of their data. Ensuring student data privacy is about so much more than complying with the Family Educational Rights and Privacy Act (FERPA). While privacy must be top of mind when thinking about collecting and using personally identifiable…
Descriptors: State Boards of Education, State Agencies, Public Education, Privacy
Charteris, Jennifer – British Journal of Sociology of Education, 2022
Post-panopticism is aligned with the Foucauldian conception of power and illustrates its apparatuses and mechanisms, for instance the visibility of bodies under the gaze, the facility to mobilise power relations for political purposes, and the capacity to engage self -technologies where there is self-surveillance and surveillance of others. As a…
Descriptors: Foreign Countries, Power Structure, Accountability, Visual Aids
Schildkamp, Kim; Datnow, Amanda – Leadership and Policy in Schools, 2022
Because learning from failures is just as important as learning from successes, we used qualitative case study data gathered in the Netherlands and the United States to examine instances in which data teams struggle to contribute to school improvement. Similar factors in both the Dutch and U.S. case hindered the work of the data teams, such as…
Descriptors: Foreign Countries, Educational Improvement, Data Use, Failure
IDEA Data Center, 2025
The "Individuals with Disabilities Education Act" (IDEA) requires state education agencies (SEAs) to establish a general supervision system for their local education agencies (LEAs), which includes making LEA determinations. In this resource, the IDEA Data Center (IDC) provides an overview of the annual LEA determinations requirements…
Descriptors: Educational Legislation, Equal Education, Federal Legislation, Students with Disabilities
Jason Delisle; Jason Cohn – Urban Institute, 2024
Data showing what students earn after attending higher education institutions have become increasingly available, bolstering calls from policymakers and advocates that government financial aid programs should be tied to those outcomes. Often overlooked, however, is that these data and policies usually reflect the earnings of only students who…
Descriptors: College Graduates, College Attendance, Dropouts, Data Collection
Maya Murad; KC Collins – Canadian Journal of Learning and Technology, 2024
Procrastination is a prevalent issue among university students and leads to long-term negative impacts on academic performance as well as mental health and quality of life. This paper investigated StudyTracker, a self-tracking digital application (app) that we developed for university students to use to track their study sessions. The app provided…
Descriptors: Computer Oriented Programs, Attention, Self Management, Data Collection

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