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Viberg, Olga; Engström, Linda; Saqr, Mohammed; Hrastinski, Stefan – Education and Information Technologies, 2022
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…
Descriptors: Learning Analytics, Student Attitudes, Expectation, College Students
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Anwar, Mohd – International Journal of Artificial Intelligence in Education, 2021
Privacy is a rather murky concept, but the absence of privacy is clearly felt in today's digital world. With the significant increase in surveillance power of software and hardware, storage capacity, computing power as well as advancement in data science technologies, the threat to privacy is ever increasing. Within the digital realm, privacy has…
Descriptors: Privacy, Trust (Psychology), Individualized Instruction, Online Courses
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Yusri, Rita; Abusitta, Adel; Aïmeur, Esma – International Journal of Artificial Intelligence in Education, 2021
Nowadays, privacy education plays an important role in teenagers' lives. Since this domain is strongly linked to their social life, it is preferable to provide a collaborative learning environment that teaches privacy, and at the same time, allows students to share knowledge, to interact with each other, to solve quizzes collaboratively and to…
Descriptors: Privacy, Game Theory, Adolescents, Cooperative Learning
Rosenberg, Joshua M.; Burchfield, Macy; Borchers, Conrad; Gibbons, Benjamin; Anderson, Daniel; Fischer, Christian – Phi Delta Kappan, 2021
For many schools and districts in the United States, Facebook has emerged as an important tool for sharing timely information, building a sense of community, highlighting staff and students, and many other purposes. However, neither researchers nor schools and districts have paid enough attention to how their Facebook use may pose a risk to the…
Descriptors: Social Media, Privacy, Elementary Secondary Education, School Districts
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John Y. H. Bai; Olaf Zawacki-Richter; Wolfgang Muskens – Turkish Online Journal of Distance Education, 2024
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…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Governance
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Sara Sullivan; Julie Fell; Kathryn Stoltenberg; Jessica Alberhasky – College and University, 2024
The University of Iowa (UI) is the state of Iowa's flagship institution; a public research one, division one university in the Big Ten Conference (B1G) with twelve colleges. One hidden gem in the accomplishments of the Office of the Registrar is UI's FERPA Team (UI-FT); a point of pride unknown to many but greatly appreciated by those who know the…
Descriptors: Educational Legislation, Student Records, Privacy, Parent Rights
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Katherine C. Aquino; Sally Scott – Journal of Postsecondary Education and Disability, 2024
The numerous stressors and strains of the COVID-19 pandemic contributed to growing numbers of college students experiencing disabilities and needing support. This practice brief explores the challenges faced by disability resource professionals (DRPs) during the pandemic in reaching and supporting students potentially needing accommodations, but…
Descriptors: Students with Disabilities, COVID-19, Pandemics, Privacy
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Eric Yang; Cheryl Beil – New Directions for Higher Education, 2024
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,…
Descriptors: Artificial Intelligence, Teacher Attitudes, Student Attitudes, College Students
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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
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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
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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
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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
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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
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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
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