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Lynn Rosalina Gama Alves; William de Souza Santos – Information and Learning Sciences, 2024
Purpose: This study aims to analyze the platforming scenario at a Brazilian university as well as the data security process for students and professors. Design/methodology/approach: This research brings an analysis through a qualitative approach of the platformization process in a Brazilian teaching institution. Findings: The results point to a…
Descriptors: Foreign Countries, Universities, Data, Information Security
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
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
Pratsri, Sajeewan; Nilsook, Prachyanun – Higher Education Studies, 2020
According to a continuously increasing amount of information in all aspects whether the sources are retrieved from an internal or external organization, a platform should be provided for the automation of whole processes in the collection, storage, and processing of Big Data. The tool for creating Big Data is a Big Data challenge. Furthermore, the…
Descriptors: Data Analysis, Higher Education, Information Systems, Data Collection
Marachi, Roxana; Quill, Lawrence – Teaching in Higher Education, 2020
The Canvas Learning Management System (LMS) is used in thousands of universities across the United States and internationally, with a strong and growing presence in K-12 and higher education markets. Analyzing the development of the Canvas LMS, we examine 1) 'frictionless' data transitions that bridge K12, higher education, and workforce data 2)…
Descriptors: Management Systems, Longitudinal Studies, Data Analysis, Higher Education
Tucker, William; Long, Don – National Association of State Boards of Education, 2018
With roots in student-centered pedagogies that go back at least to the 1900s, personalized learning meets students' learning goals, needs, context, and pace while incorporating their interests and preferences. Personalized learning in today's classroom depends upon and creates an abundance of rich student data, which simultaneously fosters new…
Descriptors: Data Collection, Data Analysis, Student Records, Individualized Instruction
Data Quality Campaign, 2021
The 2020 election brought about legislative change across the country. New and veteran policymakers need information about the schools in their state. What programs are the most cost effective and work best for students? How can states attract and retain great teachers? What information do parents need to ensure that their kids are on track to…
Descriptors: Educational Policy, Policy Formation, Data Collection, Data Analysis
Moore, Colleen; Bracco, Kathy Reeves – Education Insights Center, 2018
California's education data, at least as they currently are collected, managed, and made available, are not sufficient for understanding and addressing the needs of California's students. That's the conclusion of the first three reports in the series "California Education Policy, Student Data, and the Quest to Improve Student Progress,"…
Descriptors: Information Needs, Longitudinal Studies, Educational Policy, Educational Improvement
Data Quality Campaign, 2015
If our destination is improved student achievement, we cannot get there without valuing and effectively using data in education. Central to reaching this goal is building trust among all those who have a stake in education that individual student data, such as attendance, course taking, grades, and test scores, are being collected for meaningful…
Descriptors: Data Collection, Data Analysis, Academic Achievement, State Departments of Education
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
Data Quality Campaign, 2017
Policymakers need information about the schools in their state. What programs are the most cost effective and work best for students? How can states attract and retain great teachers? What information do parents need to ensure that their kids are on track to graduate? For answers to questions like these, policymakers need high-quality data.…
Descriptors: Educational Policy, Policy Formation, Data Collection, Data Analysis
Prinsloo, Paul; Slade, Sharon – Journal of Learning Analytics, 2016
In light of increasing concerns about surveillance, higher education institutions (HEIs) cannot afford a simple paternalistic approach to student data. Very few HEIs have regulatory frameworks in place and/or share information with students regarding the scope of data that may be collected, analyzed, used, and shared. It is clear from literature…
Descriptors: Data Collection, Data Analysis, Educational Research, Information Security
McLaughlin, Milbrey, Ed.; London, Rebecca A., Ed. – Harvard Education Press, 2013
This book is a welcome guide for educators, civic leaders, and researchers looking for ways to leverage data to identify the most effective policies, interventions, and use of resources for their communities. In the current era of reform, much has been made of the fact that there are many influences that shape children beyond the walls of the…
Descriptors: Youth Programs, Data Collection, Data Analysis, Longitudinal Studies
Data Quality Campaign, 2011
Statewide Longitudinal Data Systems (SLDS) provide the information and tools needed to inform policies, practices and decisions at every level to improve student achievement and system performance. It is equally important that there are policies and practices to protect personally identifiable information and to ensure the confidentiality and…
Descriptors: State Agencies, Student Records, Privacy, Information Security
Data Quality Campaign, 2011
This letter is submitted to comment on the U.S. Department of Education's (ED) proposed revisions to the American Recovery and Reinvestment Act's (ARRA) State Fiscal Stabilization Fund (SFSF), as published in the September 23, 2011, Federal Register. Overall, the Data Quality Campaign believes the proposed changes strike a sensible balance: they…
Descriptors: Stakeholders, Federal Aid, Accountability, Educational Finance
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