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Martin Hermida; Raffael Meier; Iwan Schrackmann; Nina Imlig-Iten; Eva Marinus – Journal of Media Literacy Education, 2024
Safeguarding personal digital data is crucial and requires appropriate training. However, privacy remains a novel topic, leaving teachers with limited guidance. This study investigates how elementary school students perceive personal data and assesses pre-service teachers' accuracy in predicting children's responses. Employing Nissenbaum's…
Descriptors: Student Records, Elementary School Students, Sharing Behavior, Privacy
Tyler Poe; Ankur Chattopadhyay – Education and Information Technologies, 2024
Existing research literature in computing and IT education shows that there has been limited work on investigating how offense based learning approaches using hacks can enhance learning of mobile security topics. In an effort to fill this research gap, we performed an experimental study with a unique, nifty user hack driven offense based learning…
Descriptors: Information Security, Computer Security, Telecommunications, Handheld Devices
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
Nadia Ahmad; Hirok Chakraborty; Ratnesh Sinha – Cogent Education, 2024
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…
Descriptors: Medical Students, Student Attitudes, Artificial Intelligence, Medical Education
Jane Henriksen-Bulmer; Emily Rosenorn-Lanng; Stevie Corbin-Clarke; Samuel Ware; Davide Melacca; Lee-Ann Fenge – Interactive Learning Environments, 2024
Game-based learning can be a useful tool for increasing engagement in topics that are typically not related to games such as privacy and staying safe online, yet, very few games exist that look at how we can passively teach audiences how to stay safe online. This paper presents a bespoke board game about privacy, aimed at young people aged 16-25…
Descriptors: Game Based Learning, Teaching Methods, Privacy, Safety
Edie C. Sanders – ProQuest LLC, 2024
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…
Descriptors: Memory, Older Adults, Cognitive Ability, Neurological Impairments
Jessie S. Barrot – Language Teaching Research Quarterly, 2024
This paper explores the transformative potential of integrating generative artificial intelligence (AI) technologies, particularly ChatGPT, into second language (L2) writing pedagogy. The paper begins by examining the evolution of L2 writing pedagogy and highlighting the strengths and limitations of each. It then discusses the integration of…
Descriptors: Writing Instruction, Computer Software, Synchronous Communication, Artificial Intelligence
Jones, Kyle M. L.; Goben, Abigail; Perry, Michael R.; Regalado, Mariana; Salo, Dorothea; Asher, Andrew D.; Smale, Maura A.; Briney, Kristin A. – portal: Libraries and the Academy, 2023
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…
Descriptors: College Students, Student Attitudes, Data Collection, Learning Analytics
Heinrich, Matthew; Gerhart, Natalie – Journal of Information Systems Education, 2023
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…
Descriptors: Privacy, Handheld Devices, College Students, Student Attitudes
Rehman, Shafiq Ul; Manickam, Selvakumar; Al-Charchafchi, Ahmed – Education and Information Technologies, 2023
The increasing daily use of Online Social Networks (OSN) around the world leads to more issues related to user privacy behaviour in this attractive environment. While users can get many benefits by using OSN services, they have many concerns regarding their information privacy at the same time. Despite their privacy concerns, users are still using…
Descriptors: Foreign Countries, Social Media, Privacy, Information Security
Data Quality Campaign, 2023
People need access to data. Individual students and job seekers, families, educators, communities, and policymakers must have the information they need to foster successful journeys through education and the workforce. Robust statewide longitudinal data systems (SLDSs) can be designed to prioritize meaningful access to data but must also protect…
Descriptors: Federal Government, Government Role, Data, Information Security
Gustavo Simas da Silva; Vânia Ribas Ulbricht – International Association for Development of the Information Society, 2023
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…
Descriptors: Comparative Analysis, Teaching Methods, Computer Software, Artificial Intelligence
Armengol-Asparó, Carme; Mercader, Cristina; Ion, Georgeta – Higher Education Research and Development, 2022
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'…
Descriptors: Feedback (Response), Peer Evaluation, College Students, Student Attitudes
Khalil, Mohammad; Prinsloo, Paul; Slade, Sharon – Journal of Computer Assisted Learning, 2022
Background: The COVID-19 pandemic disrupted higher education in many ways, such as the move to Emergency Remote Online Teaching and Learning (EROTL), often including a move to online assessments and examinations. With evidence of increased academic dishonesty in unproctored online assessment, institutions sought ways to ensure academic and…
Descriptors: Integrity, Observation, Computer Assisted Testing, COVID-19
Serena Sullivan – ProQuest LLC, 2022
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…
Descriptors: Rural Schools, College Students, Privacy, Internet