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…

The progressive move of higher education institutions (HEIs) towards blended and online environments, accelerated by COVID-19, and their access to a greater variety of student data has heightened the need for ethical learning analytics (LA). This need is particularly salient in light of a lack of comprehensive, evidence-based guidelines on ethics…

This case study looks both backwards and forwards at real and potential incidents and risks created by the use of various levels of self-driving vehicles. The case provides background on autonomous vehicle technology, the legal and risk management frameworks involved, and a variety of scenarios for students to consider. The scenarios provide the…

Higher education institutions are increasingly relying on learning analytics to collect voluminous amounts of data ostensibly to inform student learning interventions. The use of learning analytics, however, can result in a tension between the Council for the Advancement of Standards in Higher Education (CAS) principles of autonomy and…

Discussions around the unethical use of emerging technology have become increasingly common in our society. Despite previous research acknowledging the importance of including societal-level discussions in engineering and technology undergraduate curricula, there is a lack of research around college students' understanding of and engagement with…

Despite the fact that third parties are present during a substantial amount of face-to-face interviews, bystander influence on respondents' response behavior is not yet fully understood. We use nine waves of the German Family Panel "pairfam" and apply fixed effects panel regression models to analyze effects of third-party presence on…