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Callanan, Gerard A.; Perri, David F.; Tomkowicz, Sandra M. – Journal of Education for Business, 2018
The authors present a pedagogical primer on the highly controversial business strategies of data mining and automated prediction. They provide a summary that allows business professors and students the opportunity to better understand the privacy and ethical issues that arise from high-tech, Internet-based organizations implementing programs to…
Descriptors: Automation, Prediction, Discussion (Teaching Technique), Privacy
National Forum on Education Statistics, 2021
The "Forum Guide to Metadata" presents and examines the ways in which metadata can be used by education agencies to improve data quality and promote a better understanding of education data. Supported by metadata-related case studies from state and local education agencies, the guide highlights the uses of metadata from a technical point…
Descriptors: Metadata, Information Management, Data Collection, Data Use
National Forum on Education Statistics, 2020
The "Forum Guide to Data Governance" highlights how data governance programs benefit education agencies and provide timely and useful best practices, examples, and resources for agencies implementing or updating their data governance programs. This resource is intended to address the needs of federal, state, and local agencies related…
Descriptors: Data, Governance, Information Security, Privacy
National Forum on Education Statistics, 2021
The work of the National Forum on Education Statistics (Forum) is a key aspect of the National Cooperative Education Statistics System (Cooperative System). The Cooperative System was established to produce and maintain, with the cooperation of the states, comparable and uniform education information and data that are useful for policymaking at…
Descriptors: Data Collection, Information Storage, Information Management, Data Use
Huie, Stephanie Bond; Troutman, David R. – Institute for Higher Education Policy, 2019
Accurate, timely data on student outcomes and post-graduate earnings is a critical piece of any state effort to close equity gaps in college access and success, boost attainment statewide, and strategically align education and workforce goals. Unfortunately, in the absence of a federal student-level data network, states and other key stakeholders…
Descriptors: Universities, Government School Relationship, Partnerships in Education, Data Collection
National Forum on Education Statistics, 2022
Digital inequity has been a long-standing issue in the education community. A lack of home internet and technology devices can not only hinder students' ability to access educational resources at home, but can also have a detrimental effect on student achievement. Education agencies have taken steps over the past decades to address digital…
Descriptors: Access to Computers, Technology Uses in Education, Educational Technology, Internet
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
Louisiana Department of Education, 2018
Data is a crucial component in educational success. It gives educators the power to address student needs, study what strategies work, and make necessary changes so that every student has the greatest opportunity. Today, educators, parents, and students have access to more data than ever before and have access to more technology tools to…
Descriptors: Information Management, Privacy, Student Records, Standards
National Forum on Education Statistics, 2019
Educators employ different methods of teaching and learning to help their students succeed. One such method is personalized learning, which aims to tailor instruction to the needs, talents, and skills of each individual learner. Rapid advances in technology platforms and digital content over the last decade have enabled more widespread use of…
Descriptors: Individualized Instruction, Data Use, School Districts, Data Collection
National Forum on Education Statistics, 2015
When properly employed, technology may enhance and support learning opportunities available to any student, at any location, and at any time. Determining which instructional and delivery methods are best for a specific individual, group of students, community, or circumstance demands that high-quality data be available to students, parents,…
Descriptors: Elementary Secondary Education, Educational Technology, Technology Uses in Education, Data Collection
Foundation for Excellence in Education (ExcelinEd), 2016
Parents expect school districts and schools to keep their children safe while they are in school. That expectation of safety and security also extends to the protection of their children's learning data. Therefore, it is critical that school districts and schools are open and transparent about their student data privacy practices, and that those…
Descriptors: Student Records, Information Security, Privacy, Information Utilization
National Forum on Education Statistics, 2015
The National Forum on Education Statistics (Forum) organized the College and Career Ready (CCR) Working Group to explore how state and local education agencies (SEAs and LEAs) can use data to support college and career readiness initiatives. The working group determined that high-quality data in integrated K12, postsecondary, and workforce data…
Descriptors: Data Analysis, Data Collection, College Readiness, Career Readiness
Warren, Constancia; Rennie-Hill, Leslie; Pfeiffer, Jay Jordon – US Department of Education, 2012
The emergence of longitudinal data systems over the past decade has provided exciting opportunities to better understand students' educational trajectories over time and institutions. The stark reality for today's high school students is that some form of postsecondary education is a necessary ticket of entry to a secure economic future. This…
Descriptors: Data Use, Postsecondary Education, College Readiness, Access to Education
Gladden, R. Matthew, Comp.; Vivolo-Kantor, Alana M., Comp.; Hamburger, Merle E., Comp.; Lumpkin, Corey D., Comp. – Centers for Disease Control and Prevention, 2014
Bullying is one type of violence that threatens a youth's well-being in schools and neighborhoods. The impacts of bullying are felt by individuals, families, schools, and society and may result in youths feeling powerless, intimidated, and humiliated by the aggressive acts of other youth(s). This document is designed as a tool to help…
Descriptors: Public Health, Bullying, Aggression, Prevention
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National Forum on Education Statistics, 2010
Each and every day, educators collect and use data about students, staff, and schools. Some of these data originate in individual student and staff records that are confidential or otherwise sensitive. And even those data that are a matter of public record, such as aggregate school enrollment, need to be accessed, presented, and used in an…
Descriptors: Data, Data Collection, Student Records, Information Utilization
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