The field of learning analytics has advanced from infancy stages into a more practical domain, where tangible solutions are being implemented. Nevertheless, the field has encountered numerous privacy and data protection issues that have garnered significant and growing attention. In this systematic review, four databases were searched concerning…

This study addresses the opportunities presented by AI applications in education and the ethical issues brought about by this technology. AI in education holds excellent potential in personalized learning, automated assessment and feedback, and monitoring and analyzing student performance. However, using these technologies also raises ethical…

Educational institutions increasingly rely on educational technology to deliver academic experiences, particularly since the COVID-19 pandemic. This study focused on graduate students' attitudes about online privacy specific to use of technology for educational purposes. Students who participated were all current students at a university in the…

Studies on digital rights in education have both gained attention and provided a framework for research, policy and practice in educational research within the field of educational technology. The potential benefits we appreciate in Internet use are inseparable from the maximum risks involved. Faced with this responsibility, individuals demand…

For the developers of next-generation education technology (EdTech), the use of Learning Analytics (LA) is a key competitive advantage as the use of some form of LA in EdTech is fast becoming ubiquitous. At its core LA involves the use of Artificial Intelligence and Analytics on the data generated by technology-mediated learning to gain insights…

As a result of the growing commercial marketplace for teachers' digital data, a new organization that includes educational data brokers has evolved. Educational data brokerage is relatively intangible due to the ease of de-identified data being collected and sold via educational technology. There is an urgent need to expose how the brokerage of…

This systematic review involved reexamining student perceptions of privacy in online, hybrid and technology-enhanced courses. The research questions included identifying key findings from studies on student privacy. The researchers followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology and completed…

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…

Artificial intelligence (AI) and machine learning (ML) have transformed the landscape of data management in higher education institutions, necessitating a critical evaluation of existing data privacy policies and practices. This research delves into the inadequacies of current frameworks in adapting to the swift evolution of Big Data. Student,…

Public educational systems and institutions have increased their adoption of proprietary educational platforms offered by large private corporations. Platforms now critically mediate content creation and storage, interaction and communication, record-keeping and institutional memory. This platformization of education has led to significant risks…

Artificial intelligence (AI) and big data methodologies have provided a vast possibility of applications in different public policy sectors. AI and big data provide essential innovations in school teaching and learning practices, curriculum, and management in education, transforming the entire formulation and implementation of education policy.…

The adoption of generative AI in educational process carries both potential advantages and risks hence there is a need for ethical principles to guide its adoption in education. A population of 443 TVET educators, including 325 male and 118 female, was selected for this study using a mixed research design from the seven TVET public institutions in…

This is the third in a series of five briefs published by the U.S. Department of Education Office of Educational Technology on the key considerations facing educational leaders as they work to build and sustain core digital infrastructure for learning. These briefs offer recommendations to complement the fundamental infrastructure considerations…

Educational technology (EdTech) interoperability throughout cyberspace provides the financial opportunity for collecting and selling of student privacy information. The research problem addressed throughout this study is the public school district leaders' (SDLs) understanding of EdTech cyber security practices and policies (EdTechCSPP). Little is…

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…