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…

The research problem addressed in this study is that racial bias programmed into predictive algorithm recommendations negatively impacts students in historically underrepresented groups. The purpose of this qualitative descriptive study was to explore the perception of algorithm accuracy among data professionals in higher education and explore the…

Purpose: This study aims to explore the perception of algorithm accuracy among data professionals in higher education. Design/methodology/approach: Social justice theory guided the qualitative descriptive study and emphasized four principles: access, participation, equity and human rights. Data collection included eight online open-ended…

Purpose: Building on past studies of library privacy policies, this review looks at how privacy information is shared at universities and colleges in the state of Florida. Beyond the question of whether a library-specific privacy policy exists, this review evaluates what is covered in the policies -- whether topics such as how student data is…

This article will explore how the influence of the Historically Black Colleges and Universities (HBCU) culture, benefits of inclusionary leadership practices, and organizational structure impact the Family Educational Rights and Privacy Act of 1974 (FERPA) implementation and adherence. The purpose of this article will be to educate and influence…

Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…

The University of Iowa (UI) is the state of Iowa's flagship institution; a public research one, division one university in the Big Ten Conference (B1G) with twelve colleges. One hidden gem in the accomplishments of the Office of the Registrar is UI's FERPA Team (UI-FT); a point of pride unknown to many but greatly appreciated by those who know the…

Safeguarding personal digital data is crucial and requires appropriate training. However, privacy remains a novel topic, leaving teachers with limited guidance. This study investigates how elementary school students perceive personal data and assesses pre-service teachers' accuracy in predicting children's responses. Employing Nissenbaum's…

People need access to data. Individual students and job seekers, families, educators, communities, and policymakers must have the information they need to foster successful journeys through education and the workforce. Robust statewide longitudinal data systems (SLDSs) can be designed to prioritize meaningful access to data but must also protect…

Many educational institutions are using predictive models to leverage actionable insights using student data and drive student success. A common task has been predicting students at risk of dropping out for the necessary interventions to be made. However, issues of discrimination by these predictive models based on protected attributes of students…

This resource aims to provide parents of K-12 students information to help understand what it means when your school has a data breach, as well as provide tools and best practices to help navigate the sometimes confusing process of protecting your children's data in the event of a breach.

The adoption by the African Union of its Convention on Cyber Security and Personal Data Protection in 2014 represented a step forward to protect personal data and to ensure that data remain private and secure. This is especially important for students, who often have no autonomy in the educational technology they use. Students cannot choose why…

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…

Whilst learning analytics is still nascent in most African higher education institutions, many African higher education institutions use learning platforms and analytic services from providers "outside" of the African continent. A critical consideration of the protection of data privacy on the African continent and its implications for…

Micro-credentials can provide easily accessible and transparent evidence of skills or knowledge that have been certified by an authority, based on small units of learning. The recognition and transfer of credits is becoming essential, as an increasing number of students are studying at different institutions, often at the same time, online or in…