Computational learning theory studies the design and analysis of learning algorithms, and it is integral to the foundation of machine learning. In the modern era, classical computational learning theory is growingly unable to catch up with new practical demands. In particular, problems arise in the following aspects: i). "scalability":…

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…

The rise of Artificial Intelligence technology has raised concerns about the potential compromise of privacy due to the handling of personal data. Private AI prevents cybercrimes and falsehoods and protects human freedom and trust. While Federated Learning offers a solution by model training across decentralized devices or servers, thereby…

The research problem addressed in this study is that racial bias programmed into predictive algorithm recommendations negatively impacts students in historically underrepresented groups. The purpose of this qualitative descriptive study was to explore the perception of algorithm accuracy among data professionals in higher education and explore the…

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…

All children in the United States have a right to effective education. While an optimal learning environment is important for all students, children with disabilities are particularly vulnerable to barriers to accessing high-quality learning environments. Many parents of children receiving special education services want to be strong advocates for…

When multiple clients are collaboratively learning and training a shared model, incentives problems can arise. The clients may have different learning objectives and application domains, or they may be competitors whose participation in the learning system could reduce their competitive advantage. While collaborative learning is a powerful…

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.…

Prospective memory (PM), the ability to remember to execute an intention in the future, is critical for the performance of everyday tasks important for independence and quality of life. PM failures are associated with negative health, financial, and social outcomes, and are more frequent with increased age and can be even greater for older adults…

The complexity and frequency of online attacks have been steadily increasing; additional privacy protection and security measures are necessary for individuals to safeguard Personal Identifiable Information (PII). Challenges exist for Trinidad State College (TSC) students to improve online personal privacy protection behaviors. Protective…

Information security and information privacy, while related, encompass different details, especially for higher education institutions. Data security, focused on protecting data from malicious attacks, does not go as far as data privacy, focused on how data is shared, used, and communicated with others. Prior literature and research suggest higher…

The rapid growth of electronic learning (e-learning) platforms has raised concerns about cybersecurity risks. The vulnerability of university students to cyberattacks and privacy concerns within e-learning platforms presents a pressing issue. Students' frequent and intense internet presence, coupled with their extensive computer usage, puts them…

In the context of the rapid expansion of web-integrated technologies, there exists a need for a thorough comprehension of data privacy, emphasizing risk mitigation and the nuanced governance of private data within organizational and regulatory frameworks. Given the rise of privacy regulations such as the GDPR and CCPA, it has become important for…

Educational technology (EdTech) interoperability throughout cyberspace provides the financial opportunity for collecting and selling of student privacy information. The research problem addressed throughout this study is the public school district leaders' (SDLs) understanding of EdTech cyber security practices and policies (EdTechCSPP). Little is…

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…