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Blackmon, Stephanie J. – Change: The Magazine of Higher Learning, 2023
Student privacy is a critical area of higher education that deserves greater focus, particularly as student data digitalization increases. Many colleges and universities use data literacy as a way to prepare students, sometimes from different disciplines, to work with others' data postgraduation. Data literacy can be an avenue for helping all…
Descriptors: Privacy, Data Collection, Data Use, Higher Education
Hoffman, Nancy; O'Connor, Anna; Mawhinney, Joanna – Jobs for the Future, 2022
The purpose of this brief is to provide school-level examples of how early college practitioners are collecting and using data to improve their practices. Examples three and four are school-level data from two early college partnerships: the MetroWest CPC (Framingham, Milford, Waltham), and Lawrence. The brief begins, however, with the national…
Descriptors: College School Cooperation, Partnerships in Education, High Schools, Universities
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
Holloway, Kristine – Journal of Electronic Resources Librarianship, 2020
The legal and ethical use of Big Data and Learning Analytics in academic libraries has been widely debated. Analyzing large data sets has tremendous potential for libraries to implement changes that help students and prove the library's value to the university. The librarian's role in safeguarding patron privacy in a university setting where…
Descriptors: Compliance (Legal), Ethics, Learning Analytics, Data Use
Buxton, Patricia S. – Journal of Research in Education, 2021
The abundance of student records housed in K-12 schools across the country represents a largely untapped resource in the study of behavioral phenomena among children. Careful review of these existing records affords educational researchers an alternative to the heavily used survey method of data collection. While record review studies are common…
Descriptors: Student Records, Educational Research, Research Methodology, Child Behavior
Hodges, Jaret – Journal of Advanced Academics, 2020
State databases offer researchers the opportunity to conduct research using data collected by states. These databases contain financial, demographic, and accountability data. Accessing and acquiring data from these repositories, though, can offer challenges to scholars interested in conducting research. This brief describes the type of data…
Descriptors: Data Collection, Data Use, Educational Research, Gifted Education
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
Klose, Mark; Desai, Vasvi; Song, Yang; Gehringer, Edward – International Educational Data Mining Society, 2020
Imagine a student using an intelligent tutoring system. A researcher records the correctness and time of each of your attempts at solving a math problem, nothing more. With no names, no birth dates, no connections to the school, you would think it impossible to track the answers back to the class. Yet, class sections have been identified with no…
Descriptors: Privacy, Learning Analytics, Data Collection, Information Storage
National Forum on Education Statistics, 2019
The purpose of this guide is to provide timely and useful best practice information for collecting and managing data about students who have temporarily or permanently enrolled in another school or district because of a crisis. It includes lessons learned and provides recommendations for collecting and maintaining data about students who may move…
Descriptors: Data Collection, Information Management, Enrollment, Relocation
Lin, Van-Kim; Crowne, Sarah – Early Childhood Data Collaborative, 2020
Home visiting programs typically collect sensitive information about family characteristics, risk factors, and services received. States may choose to integrate these data with other early childhood data to learn more about the reach and effectiveness of the services and supports that families receive. As more states begin to integrate data across…
Descriptors: Home Visits, Privacy, Information Security, Data Collection
Fladd, Laurie; Heacock, Laurie; Hill-Kelley, Jennifer; Lawton, Julia; Pechac, Sharmaine; Shamah, Devora; Woodruff, Amber – Achieving the Dream, 2021
This guidebook is designed for institutional leaders and student success teams who are ready to talk openly about the students they serve and who are eager to learn practical strategies from national experts and peer institutions. We cannot design an experience that meets our students where they are unless we holistically understand who they are.…
Descriptors: Instructional Leadership, Instructional Design, Holistic Approach, Higher Education
Whitfield, Christina – State Higher Education Executive Officers, 2016
Analysis of student-level data to inform policy and promote student success is a core function of executive higher education agencies. Postsecondary data systems have expanded their collection of data elements for use by policymakers, institutional staff, and the general public. State coordinating and governing boards use these data systems for…
Descriptors: Student Records, College Students, Data Collection, Information Security
Reidenberg, Joel R.; Schaub, Florian – Theory and Research in Education, 2018
Education, Big Data, and student privacy are a combustible mix. The improvement of education and the protection of student privacy are key societal values. Big Data and Learning Analytics offer the promise of unlocking insights to improving education through large-scale empirical analysis of data generated from student information and student…
Descriptors: Data Collection, Information Security, Student Records, Privacy
Pruitt, Kobie – State Education Standard, 2016
Just as adults' personal lives and data are increasingly inhabiting online spaces, so are students. While this shift brings many benefits and the possibility of learning tailored to individual students' needs, it is also brings new challenges. Students create an electronic trail of information that creates an obvious concern: How can they enjoy…
Descriptors: Student Records, Safety, Computer Security, Information Security