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Kadir Kesgin – Discover Education, 2025
The increasing demand for privacy-preserving, ethically aligned synthetic data generation in education has highlighted the limitations of existing tabular data generators. Traditional approaches often sacrifice fairness or privacy in pursuit of predictive accuracy, rendering them unsuitable for high-stakes academic settings. In this paper, we…
Descriptors: Synthesis, Data, Data Science, Data Use
Ellen B. Mandinach; Edith S. Gummer – Teachers College Record, 2025
Data ethics have emerged as an essential topic in education. Educators must know how to use data effectively and responsibly. This is a complex and systemic issue that involves bringing awareness to all stakeholders, building human capacity, modifying policy, and considering equitable solutions to data use. This article posits an initial framework…
Descriptors: Data Use, Ethics, Decision Making, Elementary Secondary Education
Data Quality Campaign, 2025
Statewide longitudinal data systems (SLDSs) often rely on personal identifiers to securely link individual-level data across early childhood, K-12, higher education, and the workforce. However, different sectors use different types of personal identifiers which can make accurately connecting records difficult. Driver's license data offers a single…
Descriptors: Data Collection, Motor Vehicles, Certification, Education Work Relationship
Eva Heinrich – Open Praxis, 2025
Online proctoring systems are employed to monitor students during exams, safeguarding assessment integrity when in-person observation is not feasible. The systems leverage advanced technologies, including artificial intelligence (AI) and biometrics, to authenticate students and identify potential exam rule violations. However, concerns about data…
Descriptors: Supervision, Privacy, Information Security, Artificial Intelligence
Jeremy Seeman; Aaron R. Williams; Claire McKay Bowen – Urban Institute, 2025
The Nebraska Statewide Workforce & Educational Reporting System (NSWERS) is a state longitudinal data system (SLDS) that coordinates data sharing, processing, and dissemination efforts across the Nebraska public school systems, Nebraska community colleges, the University of Nebraska system, the Nebraska Department of Labor, and other statewide…
Descriptors: Privacy, Access to Information, Data, State Programs
Kayla Marcotte; Phillip Yang; M. Andrew Millis; Christian J. Vercler; Stefanie S. Sebok-Syer; Andrew E. Krumm; Brian C. George – Advances in Health Sciences Education, 2025
Learning analytics are increasingly used in medical education to analyze data and make decisions about learners' abilities. While there are many potential benefits of using learning analytics to drive improvement in medical education, there are also ethical concerns surrounding how this may affect learners and their patients. We conducted a…
Descriptors: Learning Analytics, Medical Education, Data Use, Reliability
Qinyi Liu; Ronas Shakya; Jelena Jovanovic; Mohammad Khalil; Javier Hoz-Ruiz – British Journal of Educational Technology, 2025
High-volume, high-quality and diverse datasets are crucial for advancing research in the education field. However, such datasets often contain sensitive information that poses significant privacy challenges. Traditional anonymisation techniques fail to meet the privacy standards required by regulations like GDPR, prompting the need for more robust…
Descriptors: Privacy, Data, Information Security, Compliance (Legal)
Data Quality Campaign, 2025
State leaders have a responsibility to use their data systems to help students seamlessly navigate transitions from high school into college, workforce training programs, the military, and apprenticeships. Many state leaders are meeting this responsibility by establishing initiatives to make enrolling in postsecondary education and workforce…
Descriptors: Postsecondary Education, Data Use, Sharing Behavior, Privacy
Bart Rienties; John Domingue; Subby Duttaroy; Christothea Herodotou; Felipe Tessarolo; Denise Whitelock – Distance Education, 2025
With the release of Generative AI systems such as ChatGPT, an increasing interest in using Artificial Intelligence (AI) has been observed across domains, including higher education. While emerging statistics show the popularity of using AI amongst undergraduate students, little is yet known about students' perceptions regarding AI including…
Descriptors: Distance Education, Student Attitudes, Artificial Intelligence, Technology Uses in Education
Alexander John Karran; Patrick Charland; Joé Trempe-Martineau; Ana Ortiz de Guinea Lopez de Arana; Anne-Marie Lesage; Sylvain Sénécal; Pierre-Majorique Léger – npj Science of Learning, 2025
Recognising a need to investigate the concerns and barriers to the acceptance of artificial intelligence (AI) in education, this study explores the acceptability of different AI applications in education from a multi-stakeholder perspective, including students, teachers, and parents. Acknowledging the transformative potential of AI, it addresses…
Descriptors: Stakeholders, Artificial Intelligence, Technology Uses in Education, Student Attitudes
Susan Willey; Ivy R. White – Journal of Legal Studies Education, 2025
Businesses use facial recognition software, fingerprint scanning, and other biometric tools in the workplace and/or commercial establishments. Concerned with the collection, use, retention, and security of biometric data, and the impact of these practices, Illinois enacted the Biometric Information Privacy Act in 2008. We designed a project that…
Descriptors: Human Body, Nonverbal Communication, Recognition (Psychology), Privacy
National Forum on Education Statistics, 2025
The purpose of this document is to help education agencies identify the types of workforce data that are most useful for understanding immediate teacher shortages and monitoring educator supply and demand, as well as best practices for using these data. This resource supplements the information in the "Forum Guide to Staff Records"…
Descriptors: School Administration, Teacher Characteristics, Labor Force, Data Collection
Faith Boninger; T. Philip Nichols – National Education Policy Center, 2025
Digital educational platforms have become ubiquitous in American classrooms, with tools like Google Workspace for Education, Kahoot!, Zearn, Khan Academy, and many others now structuring curriculum, instruction, collaboration, assessment, and communication. This policy brief highlights how these platforms are not neutral "tools" but…
Descriptors: Technology Uses in Education, Educational Technology, Public Education, Artificial Intelligence
Data Quality Campaign, 2025
Expanding access to high-quality, affordable early childhood services is key to state efforts to support families' well-being, ensure that children are ready to succeed in school, and sustain a strong economy. Right now, early childhood data is typically housed in different, disconnected state and local systems. State leaders seeking to provide…
Descriptors: Early Childhood Education, Data Collection, Data Use, Child Care

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