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Luca Botturi; Tiffany Fioroni; Chiara Beretta; Davide Andreoletti; Alessandro Ferrari; Felipe Cardoso; Anna Picco-Schwendener; Suzanna Marazza; Silvia Giordano – Educational Technology Research and Development, 2024
Privacy is a central issue in the digitalization of society and directly concerns all Internet users. Privacy education is part of the picture of a more just digital society: it aims at making users more aware of the importance of their data and of the technical and financial tools and processes that involve their personal data. Nonetheless,…
Descriptors: Computer Simulation, Privacy, Internet, Student Behavior
Office of Educational Technology, US Department of Education, 2024
Today and in the future, a growing array of Artificial Intelligence (AI) models and capabilities will be incorporated into the products that specifically serve educational settings. The U.S. Department of Education (Department) is committed to encouraging innovative advances in educational technology (edtech) to improve teaching and learning…
Descriptors: Artificial Intelligence, Computer Uses in Education, Educational Technology, Ethics
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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
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Seema P. V. – Journal of Educational Technology, 2024
Artificial intelligence (AI) has become an important force in many fields, including education. Using Artificial Intelligence in classrooms can improve learning, make education more personal, and help teachers in their work. AI can change education by offering personalized learning, making assessments easier, and supporting teachers. It can also…
Descriptors: Artificial Intelligence, Technology Uses in Education, Faculty Development, Equal Education
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Sahin Bayzan – Education and Information Technologies, 2025
This study aims to investigate the effect of teachers' digital citizenship behaviour on their online privacy anxiety levels. The sample of the study consists of 7,465 volunteer teachers randomly selected from among teachers in different branches working in public and private schools in eighty-one provinces affiliated to the Ministry of National…
Descriptors: Public School Teachers, Private School Teachers, Electronic Learning, Privacy
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Stephanie Swartz; Susan Luck; Soni Sharma – Higher Education, Skills and Work-based Learning, 2025
Purpose: This study describes a short-term project designed for students to develop important skills needed for artificial intelligence (AI) literacy and to understand how the concepts of AI literacy may be viewed in different countries. Design/methodology/approach: This mixed-methods study sets out to investigate students' perceptions on the use…
Descriptors: Artificial Intelligence, Digital Literacy, Skill Development, Business Communication
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Maura N. Snyder; Alanna L. Peebles – Communication Teacher, 2025
A core component of teaching media literacy involves students analyzing and reflecting on how they use media in their daily lives. In this hands-on activity, college students play social media privacy bingo. Each square represents a different type of private information that they might choose to share on social media. The instructor calls out…
Descriptors: Social Media, Teaching Methods, Media Literacy, Student Attitudes
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Saman Ebadi; Hassan Nejadghanbar; Ahmed Rawdhan Salman; Hassan Khosravi – Journal of Academic Ethics, 2025
This study investigates the perspectives of 12 journal reviewers from diverse academic disciplines on using large language models (LLMs) in the peer review process. We identified key themes regarding integrating LLMs through qualitative data analysis of verbatim responses to an open-ended questionnaire. Reviewers noted that LLMs can automate tasks…
Descriptors: Artificial Intelligence, Peer Evaluation, Periodicals, Journal Articles
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Susan Willey; Ivy R. White – Journal of Legal Studies Education, 2025
Businesses use facial recognition software, fingerprint scanning, and other biometric tools in the workplace and/or commercial establishments. Concerned with the collection, use, retention, and security of biometric data, and the impact of these practices, Illinois enacted the Biometric Information Privacy Act in 2008. We designed a project that…
Descriptors: Human Body, Nonverbal Communication, Recognition (Psychology), Privacy
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Aboulkacem, Abigail R.; Aboulkacem, Slimane; Haas, Lory E. – TechTrends: Linking Research and Practice to Improve Learning, 2021
Most individuals view the world through images and many share memories through social networking sites (SNSs) and other online spaces continuously. Due to the immense amount of communication through images, it is increasingly important to develop competencies in visual, media, and privacy literacy; therefore, this article presents Photovoice 2.0,…
Descriptors: Photography, Research Methodology, Visual Aids, Ethics
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Kaliisa, Rogers; Kluge, Anders; Mørch, Anders I. – Scandinavian Journal of Educational Research, 2022
Learning analytics (LA) is a fast-growing field but adoption by teachers remain limited. This paper presents the results of a review of 18 LA frameworks and discusses how they have tried to address prominent challenges in LA adoption. The results show that researchers have made significant advances in developing appropriate frameworks to…
Descriptors: Learning Analytics, Models, Adoption (Ideas), Learning Theories
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Prinsloo, Paul; Slade, Sharon; Khalil, Mohammad – British Journal of Educational Technology, 2022
Evidence shows that appropriate use of technology in education has the potential to increase the effectiveness of, eg, teaching, learning and student support. There is also evidence that technology can introduce new problems and ethical issues, e.g., student privacy. This article maps some limitations of technological approaches that ensure…
Descriptors: Student Records, Data, Privacy, Learning Analytics
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Rotman, Assaf; Shalev, Michael – Sociological Methods & Research, 2022
Automatically collected behavioral data on the location of users of mobile phones offer an unprecedented opportunity to measure mobilization in mass protests, while simultaneously expanding the range of researchable questions. Location data not only improve estimation of the number and composition of participants in large demonstrations. Thanks to…
Descriptors: Measurement Techniques, Activism, Telecommunications, Handheld Devices
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Kularski, Curtis M.; Martin, Florence – American Journal of Distance Education, 2022
This systematic review of research on online student privacy in higher education used a strategic search process to synthesize research on online student privacy based on publications trends, research methods, online spaces studied and the focus of the research. A total of 41 articles were analyzed to explore the existing literature on the topic.…
Descriptors: Online Courses, College Students, Electronic Learning, Privacy
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Taylor, Kevin – Education and Culture, 2022
For Dewey, growth in the educative process means education that enriches and expands one's experience as it prepares students for not only a vocation but also entry into and transaction with the world. In few places can we see growth, generally understood, to be occurring as fast as in big data technology. This essay begins with an overview of…
Descriptors: Educational Philosophy, Educational Development, Technology Uses in Education, Learning Analytics
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