No solution can ultimately eliminate cheating in online courses. However, universities reserve funding for authentication systems to minimize the threat of cheating in online courses. Most higher education institutions use a combination of authentication methods to secure systems against impersonation attacks during online examinations.…

ETS experts are exploring and defining the standards for responsible AI use in assessments. A comprehensive framework and principles will be unveiled in the coming months. In the meantime, this document outlines the critical areas these standards will encompass, including the principles of: (1) Fairness and bias mitigation; (2) Privacy and…

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…

Purpose: It has been demonstrated that AI-powered, data-driven tools' usage is not universal, but deeply linked to socio-cultural contexts. The purpose of this paper is to display the need of adopting situated lenses, relating to specific personal and professional learning about data protection and privacy. Design/methodology/approach: The authors…

Background: School-based health centers (SBHCs) have the capability to overcome youth barriers to care. Virtual care programs (VCP) facilitate connection between school nurse and off-site SBHC providers and can increase the reach of SBHCs. This project aimed to examine Denver Public School nurses' perspectives of a pilot VCP. Methods: Thirteen…

Until December 2020, Spanish primary schools were not required to provide any kind of sexuality education, and most teachers did not receive training to carry it out. However, sexuality is clearly present in children's daily lives in school. We carried out qualitative research with teachers from four primary schools in Catalonia (Spain), aiming to…

Dynamic consent is increasingly recommended for longitudinal and biobanking research; however, the value of investing in such systems is unclear. We undertook a rapid review of the benefits and challenges of implementing dynamic consent by searching five databases (Ovid Medline, Ovid Embase, Scopus, Web of Science, Cumulative Index to Nursing and…

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…

This study, conducted through a combination of interviews, surveys, and direct observations, examines the exploitation of sleep-in domestic workers from Lesotho who work in South African households. Based on data collected from 15 participants, the research brings to light the difficult living conditions these workers face, including a lack of…

Purpose: The study aims to assess the awareness, perception and adoption of artificial intelligence (AI) in Bangladesh's healthcare sector. Design/methodology/approach: This study utilizes a quantitative methodology. A survey with structured questionnaire was conducted with a sample of 399 healthcare professionals and public members through…

Learning analytics are increasingly used in medical education to analyze data and make decisions about learners' abilities. While there are many potential benefits of using learning analytics to drive improvement in medical education, there are also ethical concerns surrounding how this may affect learners and their patients. We conducted a…

Without regulations for higher education institutions in the metaverse, ethical transgressions are unavoidable. Educational metaverse systems, which integrate artificial intelligence, essentially depend on big data as their core technology, leading to considerable privacy issues. Therefore, this study examines data privacy and security issues, a…

As children increasingly engage with digital platforms, the need for effective cybersecurity education has become urgent. This systematic review synthesizes 81 studies published between 2017 and 2024 to examine global curricula research focus and topics, pedagogical approaches and assessment methods, and key challenges in elementary cybersecurity…

Large language models (LLMs) are increasingly being utilized to develop tools and services in various domains, including education. However, due to the nature of the training data, these models are susceptible to inherent social or cognitive biases, which can influence their outputs. Furthermore, their handling of critical topics, such as privacy…

In qualitative research, using pseudonyms for participants is a common practice. This paper examines how inviting participants to choose their pseudonyms contributes to epistemic justice in the research process. We highlight the transformative potential of participant agency in the research journey by exploring data derived from a large…