Learning analytics are starting to become standardized in higher education as institutions use the techniques of Big Data analytics to make decisions to help them reach their goals. The widespread use of student information brings forth ethical concerns primarily in relation to privacy. While the overarching ethical issues related to learning…

Background: Learning Analytics (LA) is an emerging field concerned with measuring, collecting, and analysing data about learners and their contexts to gain insights into learning processes. As the technology of Learning Analytics is evolving, many systems are being implemented. In this context, it is essential to understand stakeholders'…

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…

COVID-19 has significantly impacted humankind's lifestyle since its emergence. Educational institutions quickly adopted online courses to deal with its spread. Regrettably, the adoption of e-learning solutions, particularly in Africa, has not given due priority to security. However, cyberattacks and cyber incidents are leaping forward. To propose…

Community college students need access to comprehensive reproductive health care to support them in achieving both their educational and reproductive goals. This brief highlights barriers to contraceptive access among young people attending community college and outlines policies and programs that can support access. Drawing on data from a…

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.…

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…

In order to successfully implement learning analytics (LA), we need a better understanding of student expectations of such services. Yet, there is still a limited body of research about students' expectations across countries. Student expectations of LA have been predominantly examined from a view that perceives students as a group of individuals…

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,…

The COVID-19 pandemic precipitated an abrupt transition to online learning, impacting students with disabilities uniquely. This study examines the experiences of 62 such students in the new educational paradigm, employing a mixed-methods approach. Quantitative data were collected through surveys and questionnaires to assess privacy and security…

Background: Artificial Intelligence (AI) has immense potential varying from diagnosing, decision-making in-patient care, and education. To successfully integrate AI into medicine and medical education, it is important to know the outlook and willingness of medical students. This study was done to learn about the medical students opinions about it…

Higher education data mining and analytics, like learning analytics, may improve learning experiences and outcomes. However, such practices are rife with student privacy concerns and other ethics issues. It is crucial that student privacy expectations and preferences are considered in the design of educational data analytics. This study forefronts…

Mobile devices are a constantly used item in a college student's life. Students depend on them for entertainment, academics, and socializing with their friends. While they continually use them, they perhaps do not understand the impact of their use on their privacy or that the devices can be used to track them and collect their personal…

Peer feedback benefits students' learning at the university level. However, how it makes an impact on students' learning and which defining factors in its design wield more significant influence are aspects that continue to require further analysis. This study is dedicated precisely to analyse how different feedback conditions impact students'…

This qualitative research aims to examine the artificial intelligence literacy levels of psychological counseling candidates. Within the scope of the research, semi-structured interviews were conducted with 3rd and 4th-year students of the Guidance and Psychological Counseling program, and the views of 18 participants were analyzed. The data were…