This paper provides a theoretical and conceptual analysis of educational technology (Ed-Tech) including its role in the administration and organization of schools, colleges, and universities; teachers' pedagogical practices; and students' learning. During and since the pandemic period, education has relied more heavily than ever on technological…

The rapid recent use of learning analytics (LA) in higher education, specifically during the COVID-19 pandemic, allows the monitoring of users' behavior while learning. Using LA may promote students' learning outcomes but also intrude into their privacy. This study aimed to explore students' behaviour and perceptions towards privacy and data…

The manuscript outlines the development of an undergraduate course titled "Generative Artificial Intelligence for Business," aimed at equipping students with the knowledge and skills necessary to leverage generative AI technologies in various business contexts. The course framework covers fundamental concepts of generative AI, including…

Smart cities surveil through ubiquitous and intrusive data collection via networked sensors. Smart city efforts are also frequently imagined as primarily top-down and male visions of the future in service of economic benefit. The smart campus presents a new dimension of smart city urbanism as an identified gap in literature. In the following…

India's growing economy and population proves its significant stake in the Artificial Intelligence (AI) revolution. India's education and technology sector has grown exponentially over the last few years, particularly in times of COVID-19 pandemic but owing to various reasons, it is accessible to only one in four students in India. AI has proven…

This is the fourth in a series of five briefs published by Office of Education Technology (OET) 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 outlined in the 2017 OET…

In 2014, the U.S. Centers for Medicare & Medicaid Services (CMS) launched the Home and Community-Based Services (HCBS) Final Rule intended to improve the quality of HCBS for people with disabilities. The Rule focuses on improving outcomes through person-centered services and supports. These outcomes include privacy and dignity. This study…

In response to the demand for Artificial Intelligence (AI) experts, this study introduced a curriculum development initiative. The aim was to design and implement a Private AI curriculum to understand the computer science (CS) students' evaluations of the curricular activities and their levels of interest and motivation. Twenty-five students, a…

School psychologists constantly seek innovative ways to support students and colleagues. They understand the unique challenges within schools, including complex student needs, systemic pressures, and ever-increasing paperwork. What if they could create custom digital tools like games, interactive simulations, or decision-making aids, all tailored…

This study explores educators' perspectives on the impact of generative artificial intelligence (AI) on academic roles within Palestinian institutions. Through qualitative interviews and quantitative surveys, the research reveals significant anxiety among educators, particularly concerning the potential decline of traditional roles, educational…

In this study, we examine the role of AI-driven marketing in international student recruitment, focusing on how perceived usefulness, trust, and personalization influence decision-making. Grounded in the Technology Acceptance Model (TAM), the Trust-Based Decision-Making Model, and the Personalization--Privacy Paradox, we studied how AI-powered…

This article examines the use of artificial intelligence (AI) in early childhood education from a rights-based perspective, drawing on a critical interpretive synthesis (CIS) of the literature published between 2019 and 2025. A typology of four uses in early childhood -- Tutor, Tool, Companion, and Tracker (THCR) -- is proposed and each category…

Anonymous questionnaires are frequently used in research with adolescents in order to obtain sincere answers about sensitive topics. Most longitudinal studies include self-generated identification codes (SGICs) to match information. Typical elements include a combination of letters and digits from personal data. However, these data may make the…

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…

Protection of student privacy is critical for scaling up the use of learning analytics (LA) in education. Poorly implemented frameworks for privacy protection may negatively impact LA outcomes and undermine trust in the discipline. To design and implement models and tools for privacy protection, we need to understand privacy itself. To develop…