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Brown, Michael; Klein, Carrie – Journal of Higher Education, 2020
The proliferation of information technology tools in higher education has resulted in an explosion of data about students and their contexts. Yet, current policies governing these data are limited in their usefulness for informing students, instructors, and administrators of their rights and responsibilities related to data use because they are…
Descriptors: Discourse Analysis, Privacy, School Policy, Policy Analysis
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Kilgore, Wendy – College and University, 2020
2019 was a bit different from previous years for the American Association of Collegiate Registrars and Admissions Officers (AACRAO) Research. Since they had six larger-scale research projects (of which several were calendared over the summer months), they did not want to overly burden their members with surveys. This resulted in four 60-Second…
Descriptors: Registrars (School), Admissions Officers, Institutional Characteristics, College Admission
Isaac, James; Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2023
Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…
Descriptors: College Students, Data, Information Networks, Program Design
Thao Thu Vo – ProQuest LLC, 2024
In compliance with The Every Student Succeeds Act, many states report "chronic absenteeism" as an indicator of student success. While chronic absenteeism is prevalent across the country, marginalized youth experience differential rates compared to their White peers. The disproportionate overrepresentation of marginalized youth is partly…
Descriptors: Risk Assessment, Attendance, Self Concept, Cultural Background
District of Columbia Public Schools, 2024
This District of Columbia Public Schools School Year 2024-2025 "Parental Right to Know Guide" informs parents on their rights with regard to the following: (1) Notice of Non-Discrimination and Non-Retaliation; (2) Teachers and Paraprofessionals; (3) Student Achievement (DC CAPE Data); (4) Student Records; (5) Unsafe School Choice Option;…
Descriptors: Public Schools, Parent Rights, Access to Information, Equal Education
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
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Kisling, Reid; Peterson, Andrew; Nisbet, Robert – Strategic Enrollment Management Quarterly, 2021
Data analytics is undergoing an evolution through effective data use to support both operational and learning analytics models. However, this evolution will require that institutional leaders transform their data systems to best support the needs of application modeling and use their intuition to help drive the development of better analytical…
Descriptors: Higher Education, Learning Analytics, Models, Instructional Leadership
Cole, Jared P. – Congressional Research Service, 2021
Schools generate and maintain numerous student records, including grades, standardized test scores, disciplinary accounts, contact information, mental health records, and more. The Family Educational Rights and Privacy Act (FERPA), which applies to educational agencies and institutions that receive certain types of financial assistance from the…
Descriptors: Parent Rights, Student Records, Privacy, Educational Legislation
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Chang, Bo – American Association for Adult and Continuing Education, 2021
The purpose of this paper is to explore privacy issues in online learning. This study shows that there are direct legal-related privacy issues, such as students' personal data and grades protected by the FERPA, and students' right to protect their privacy in the context of a public website. There are also some privacy issues which occurred in much…
Descriptors: Privacy, Online Courses, Laws, Grades (Scholastic)
Sarah E. Long – ProQuest LLC, 2021
Missing values that fail to be appropriately accounted for may lead to reduced statistical power, biased estimators, reduced representativeness of the sample, and incorrect interpretations and conclusions (Gorelick, 2006). The current study provided an ontological perspective of data manipulation by explaining how statistical results can…
Descriptors: Statistics, Data Use, Student Records, School Holding Power
Jessica L. Foley – ProQuest LLC, 2021
Research has shown trauma-informed care in schools is effective in reducing the impact of trauma on children, as well as bolstering future success in those who are at-risk for experiencing trauma. Improving students school climate, emotion regulation strategies, learning behaviors, and friendships in middle school students is effective in…
Descriptors: Program Evaluation, Trauma Informed Approach, At Risk Students, Educational Environment
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
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Natercia Valle; Pavlo Antonenko; Kara Dawson; Anne Corinne Huggins-Manley – British Journal of Educational Technology, 2021
The advances in technology to capture and process unprecedented amounts of educational data has boosted the interest in Learning Analytics Dashboard (LAD) applications as a way to provide meaningful visual information to administrators, parents, teachers and learners. Despite the frequent argument that LADs are useful to support target users and…
Descriptors: Learning Analytics, Access to Information, Efficiency, Data Use
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Campbell-Montalvo, Rebecca A. – Race, Ethnicity and Education, 2020
In this study on K-12 schools in the U.S. Florida Heartland, I take a QuantCrit approach to uncover how processes of data transformation, which I call 'racial re-formation', shape the utilization and reporting of racial and ethnic representations of students. To understand actual data use at schools, I apply QuantCrit's principles on how numbers…
Descriptors: Elementary Secondary Education, School Demography, Race, Ethnicity
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Bowen, Bradley D.; Wilkins, Jesse L. M.; Ernst, Jeremy V. – Journal of STEM Education: Innovations and Research, 2019
The problematic persistence rates that many colleges and schools of engineering encounter has resulted in ongoing conversations about academic readiness, retention, and degree completion within engineering programs. Although a large research base exists about student preparedness in engineering, many studies report a wide variety of factors that…
Descriptors: At Risk Students, Engineering Education, Graduation Rate, College Students
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