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…

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…

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…

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…

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…

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…

Due notably to the emergence of massive open online courses (MOOCs), stakeholders in online education have amassed extensive databases on learners throughout the past decade. Administrators of online course platforms, for instance, possess a broad spectrum of information about their users. This information spans from users' areas of interest to…

Summit Public Schools (SPS), a California-based charter school network established in 2003, is widely promoted nationally as a success story to be emulated. A policy environment friendly to charter schools and digital technologies, together with hundreds of millions of dollars in technology industry contributions, enabled its growth and its…

Recently, there has been a demand for increased educational technology usage in the university classroom, despite expanded access and implementation there has been little attention paid to student data privacy concerns. Our work is one institution's response to addressing the data privacy gap by creating a comprehensive review process for…

Granting access to student information, for what purpose, and to whom, is rarely a simple decision. Academic records have long been critical to the functioning of a university, but leveraging institutional data has become increasingly important (Lester, et al. 2017). Data stewards in higher education institutions nationwide confront a…

Technology integration and learning analytics offer insights to improve educational experiences and outcomes. In advancing these efforts, laws and policies govern these environments placing protections, standards, and developmental opportunities for higher education, students, faculty, and even the nation-state. Nonetheless, evidence of…

Learning analytics have the potential to improve teaching and learning in K-12 education, but as student data is increasingly being collected and transferred for the purpose of analysis, it is important to take measures that will protect student privacy. A common approach to achieve this goal is the de-identification of the data, meaning the…

This paper sought to establish the extent to which users' legitimate rights are safeguarded in Learning Management Systems (LMS); specifically, on the Blackboard system used for teaching at Sorbonne University, Abu Dhabi (SUAD). First, the users' legitimate rights that required protection were identified. Second, the security and privacy…

Objective: To detail the implementation, benefits and challenges of onboarding campus-based health services onto a health system's electronic health record. Participants: UC San Diego Student Health and Well-Being offers medical services to over 39,000 students. UC San Diego Health is an academic medical center. Methods: 20 workstreams and 9…