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Marian Horváth; Marek Hlásny; Slávka Krásna – Acta Educationis Generalis, 2025
Introduction: The digital era is reshaping not only technology and economy but also the legal systems governing democratic societies. The rapid emergence of artificial intelligence, big data, and digitisation calls for proactive adaptation of legal frameworks. This article explores the intersection of digital transformation and the rule of law,…
Descriptors: Democracy, Laws, Artificial Intelligence, Governance
Thulasi M. Santhi; K. Srinivasan – IEEE Transactions on Learning Technologies, 2024
Cloud adoption in industrial sectors, such as process, manufacturing, health care, and finance, is steadily rising, but as it grows, the risk of targeted cyberattacks has increased. Hence, effectively defending against such attacks necessitates skilled cybersecurity professionals. Traditional human-based cyber-physical education is resource…
Descriptors: Artificial Intelligence, Information Security, Computer Security, Prevention
Curby Alexander; Liran Ma; Ze-Li Dou; Zhipeng Cai; Yan Huang – Journal of Cybersecurity Education, Research and Practice, 2024
Recent advances in Artificial Intelligence (AI) have brought society closer to the long-held dream of creating machines to help with both common and complex tasks and functions. From recommending movies to detecting disease in its earliest stages, AI has become an aspect of daily life many people accept without scrutiny. Despite its functionality…
Descriptors: Students, Teachers, Inquiry, Computer Security
Jiangang Hao; Alina A. von Davier; Victoria Yaneva; Susan Lottridge; Matthias von Davier; Deborah J. Harris – Educational Measurement: Issues and Practice, 2024
The remarkable strides in artificial intelligence (AI), exemplified by ChatGPT, have unveiled a wealth of opportunities and challenges in assessment. Applying cutting-edge large language models (LLMs) and generative AI to assessment holds great promise in boosting efficiency, mitigating bias, and facilitating customized evaluations. Conversely,…
Descriptors: Evaluation Methods, Artificial Intelligence, Educational Change, Computer Software
S. Siva Shankar; Bui Thanh Hung; Prasun Chakrabarti; Tulika Chakrabarti; Gayatri Parasa – Education and Information Technologies, 2024
Modern life is increasingly influenced by networks, making cybersecurity a crucial area of study. However, due to their few resources and varied makeup, they are more vulnerable to a wide range of cyber-attacks. Such risks result in sensitive information being stolen as well as financial and reputational harm to firms. How far malicious detection…
Descriptors: Learning Processes, Artificial Intelligence, Information Security, Computer Security
Bader Muteb Alsulami; Abdullah Baihan; Ahed Abugabah – Cogent Education, 2024
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…
Descriptors: Students with Disabilities, Inclusion, Artificial Intelligence, Computer Security
Cathryn Allen; Bryson R. Payne; Tamirat Abegaz; Chuck Robertson – Journal of Cybersecurity Education, Research and Practice, 2024
Research indicates that deceitful videos tend to spread rapidly online and influence people's opinions and ideas. Because of this, video misinformation via deepfake video manipulation poses a significant online threat. This study aims to discover what factors can influence viewers' capability to distinguish deepfake videos from genuine video…
Descriptors: Deception, Information Security, Video Technology, Computer Security
Jin Wei-Kocsis; Moein Sabounchi; Gihan J. Mendis; Praveen Fernando; Baijian Yang; Tonglin Zhang – IEEE Transactions on Education, 2024
Contribution: A novel proactive and collaborative learning paradigm was proposed to engage learners with different backgrounds and enable effective retention and transfer of the multidisciplinary artificial intelligence (AI)-cybersecurity knowledge. Specifically, the proposed learning paradigm contains: 1) an immersive learning environment to…
Descriptors: Computer Security, Artificial Intelligence, Interdisciplinary Approach, Models
Qinyi Liu; Ronas Shakya; Jelena Jovanovic; Mohammad Khalil; Javier Hoz-Ruiz – British Journal of Educational Technology, 2025
High-volume, high-quality and diverse datasets are crucial for advancing research in the education field. However, such datasets often contain sensitive information that poses significant privacy challenges. Traditional anonymisation techniques fail to meet the privacy standards required by regulations like GDPR, prompting the need for more robust…
Descriptors: Privacy, Data, Information Security, Compliance (Legal)
Ryan Straight – Journal of Cybersecurity Education, Research and Practice, 2024
This study applies a posthuman lens to the National Initiative for Cybersecurity Education (NICE) Workforce Framework, examining two key Work Roles in cybersecurity education. Employing a novel posthuman coding scheme, the associated Tasks, Knowledge, and Skills (TKS) statements were analyzed. Findings reveal significant posthuman elements within…
Descriptors: Computer Security, Computer Science Education, Job Skills, Ability
Alison Lui; Catharina Womack; Penny Orton – Education and Information Technologies, 2025
This article critically evaluates the effects of the ACU Virtual Mobility (VM) Project Digital Information Security Course (DISC) programme on improving students' awareness of cyber security skills, pre and post the educational intervention. Our selected VM tool is Collaborative Online International Learning (COIL). Building on a conceptual…
Descriptors: Cooperative Learning, Electronic Learning, Foreign Countries, Information Security
Philip Newton; Maira Xiromeriti – Assessment & Evaluation in Higher Education, 2024
Media coverage suggests that ChatGPT can pass examinations based on multiple choice questions (MCQs), including those used to qualify doctors, lawyers, scientists etc. This poses a potential risk to the integrity of those examinations. We reviewed current research evidence regarding the performance of ChatGPT on MCQ-based examinations in higher…
Descriptors: Multiple Choice Tests, Artificial Intelligence, Integrity, Computer Software
Lidong Wang – Journal of Cybersecurity Education, Research and Practice, 2024
Additive manufacturing (AM) has been applied to automotive, aerospace, medical sectors, etc., but there are still challenges such as parts' porosity, cracks, surface roughness, intrinsic anisotropy, and residual stress because of the high level of thermal gradient. It is significant to conduct the modeling and simulation of the AM process and…
Descriptors: Computer Security, Computer Science, Artificial Intelligence, Computer Simulation
Saah Agyemang-Badu; Felisa Tibbitts; Sage Phillips – Current Issues in Comparative Education, 2024
The treatment of artificial intelligence (AI) in the field of education has so far been typically characterized by (a) information about how AI can assist educators in carrying out their work, and (b) concerns about the misuse of AI by learners, for example, concerning plagiarism. The links between AI and ethics within the field of education are…
Descriptors: Artificial Intelligence, Elementary Secondary Education, Higher Education, Ethics
Embracing Artificial Intelligence to Improve Self-Directed Learning: A Cybersecurity Classroom Study
Jim Marquardson – Information Systems Education Journal, 2024
Generative artificial intelligence (AI) tools were met with a mix of enthusiasm, skepticism, and fear. AI adoption soared as people discovered compelling use cases--developers wrote code, realtors generated narratives for their websites, students wrote essays, and much more. Calls for caution attempted to temper AI enthusiasm. Experts highlighted…
Descriptors: Artificial Intelligence, Capstone Experiences, Computer Security, Information Security