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…

Artificial intelligence in education (AIEd) is a fast-growing field of research. In previous work, we described efforts to explore the possible futures of AIEd by identifying key variables and their future prospects. This paper re-examines our discussions on the governance of data and the role of students and teachers by considering the…

ChatGPT and Bard, two chatbots powered by Large Language Models (LLMs), are propelling the educational sector towards a new era of instructional innovation. Within this educational paradigm, the present investigation conducts a comparative analysis of these groundbreaking chatbots, scrutinizing their distinct operational characteristics and…

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…

The demand for privacy specialists is expected to increase, but there is a shortage of them to meet market demands. Certain ICT skills and competencies are required for professionals who develop, manage, and protect data that drive the digital world. The current study explores undergraduate students' attitude about different teaching strategies…

The General Data Protection Regulation (GDPR) in the European Union contains directions on how user data may be collected, stored, and when it must be deleted. As similar legislation is developed around the globe, there is the potential for repercussions across multiple fields of research, including educational data mining (EDM). Over the past two…

While there are many conveniences that the widespread use of the Internet provides us today, there are also some risks that come with these conveniences. One of these risks is the disclosure of personal data. Personal data can be defined as any information regarding an identified or identifiable real person. It can be argued that wide use of…

From the standpoint of a MOOC practitioner (i.e., a MOOC provider) instead of a rigorous comparative law researcher, this article attempts to analyze the potential legal issues and risks underlying instruction via MOOCs and compare these legal issues and risks between the small jurisdiction Macao and such major jurisdictions as the United States,…

This paper presents the best practices used by institutional review boards (IRBs) and human research protections programs (HRPPs) to prepare online graduate student investigators for human research protections specific to research within online graduate degree programs or where research supervisors are not proximal to graduate student…

Recently, institutions have increased their online course offerings as well as their online degrees. With this significant growth in online offerings, assessment integrity becomes a concern. In response to this concern, many institutions have adopted the use of online proctoring services. The aim of using these online proctoring services is to…

This paper offers an analysis of the narrative emerging from nearly 11,000 tweets related to the scandal surrounding Cambridge Analytica and Facebook. The narrative analysis demonstrates that the users were annoyed with the way their information was used but were also unhappy with the fact that users need to be more mindful and attentive of the…

Providing timely feedback is crucial in promoting academic achievement and student success. However, for multifarious reasons (e.g., limited teaching resources), feedback often arrives too late for learners to act on the feedback and improve learning. Thus, automated feedback systems have emerged to tackle educational tasks in various domains,…

This paper examines the Individualized Credit for Prior Learning (CPL) process in business education. It highlights its role in accrediting students' experiential learning and bridging practical experience with academic credit. This research then recommends solutions that include AI tools, advisor training, and centralized resource hubs. Most…

This study examines the impacts of AI-powered personalized education on student achievement and future perspectives. Personalized education refers to teaching methods tailored to the individual needs and learning paces of students, made more effective by the opportunities offered by AI. AI technologies transform educational processes such as…

Data systems are becoming powerful tools to address students' diverse and changing needs, but without comprehensive data privacy policies, the risks of unintentional or malicious disclosures of students' private information is increasing. Given the mounting challenges to protect data privacy, Education Commission of the States assembled data…