NotesFAQContact Us
Collection
Advanced
Search Tips
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 58 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Data Quality Campaign, 2022
Each year, state legislators craft new policies that drive data use across their states, and as part of a comprehensive review of state education data legislation, the Data Quality Campaign (DQC) keeps track. In 2022, state legislators introduced 131 bills in 35 states--42 of which became law in 17 states-- that would govern the use of data along…
Descriptors: Privacy, State Legislation, Student Records, Confidentiality
Peer reviewed Peer reviewed
Direct linkDirect link
van der Weele, Simon; Bredewold, Femmianne – Journal of Intellectual & Developmental Disability, 2021
Background: While qualitative research on intellectual disability is on the rise, researchers have frequently reported that their methods bring methodological and ethical challenges. The authors advance shadowing as an alternative method to respond to these concerns. Method: The authors draw on their experiences with shadowing on the basis of two…
Descriptors: Qualitative Research, Intellectual Disability, Research Methodology, Observation
The White House, 2022
Among the great challenges posed to democracy today is the use of technology, data, and automated systems in ways that threaten the rights of the American public. Too often, these tools are used to limit our opportunities and prevent our access to critical resources or services. These problems are well documented. In America and around the world,…
Descriptors: Artificial Intelligence, Algorithms, Privacy, Information Security
Nellum, Christopher J. – Education Trust-West, 2019
California needs better data on the state's education systems to uncover and remedy systemic, long-standing racial and socioeconomic inequities. To create more just institutions, students, families, policymakers, educators, and advocates need access to quality, disaggregated data that allows them to answer questions about how well the state's…
Descriptors: Equal Education, Evidence Based Practice, Educational Policy, Longitudinal Studies
British Columbia Council on Admissions and Transfer, 2021
This report focuses on data governance at post-secondary institutions and related organizations. Data governance is defined as the formal execution and enforcement of authority over the management of data and data-related assets (Seiner, 2014). An overview of data governance at higher education institutions provides detail on elements of data…
Descriptors: Foreign Countries, Data, Governance, Postsecondary Education
Peer reviewed Peer reviewed
Direct linkDirect link
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
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
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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, 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
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kyritsi, Kyriaki H.; Zorkadis, Vasilios; Stavropoulos, Elias C.; Verykios, Vassilios S. – Journal of Interactive Media in Education, 2019
Recent technological advances have led to tremendous capacities for collecting, storing and analyzing data being created at an ever-increasing speed from diverse sources. Academic institutions which offer open and distance learning programs, such as the Hellenic Open University, can benefit from big data relating to its students' information and…
Descriptors: Educational Research, Data Collection, Student Records, Information Security
Peer reviewed Peer reviewed
Direct linkDirect link
Power, Kerry – E-Learning and Digital Media, 2019
When conceptualising knowledge gained from tapping into an internet data pool, one may question many things which can include the role of the researcher and the researched, privacy and ethics, intention, authenticity and the vastness of scope. The researcher, regardless of research intention including moral or ethical positions, must acknowledge…
Descriptors: Ethics, Research Problems, Social Media, Researchers
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
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4