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Ruppert, Janet – ProQuest LLC, 2023
Teenagers today are coming of age under unprecedented, pervasive networks of institutional mass surveillance technologies. Surveillance technologies spreading in youth spaces are impacting young people's prospects today and are expected to continue in the future. Additionally, today's teenagers will be tomorrow's decision-makers, tasked with…
Descriptors: Social Justice, Observation, Telecommunications, Algorithms
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Slade, Sharon; Prinsloo, Paul; Khalil, Mohammad – Information and Learning Sciences, 2023
Purpose: The purpose of this paper is to explore and establish the contours of trust in learning analytics and to establish steps that institutions might take to address the "trust deficit" in learning analytics. Design/methodology/approach: "Trust" has always been part and parcel of learning analytics research and practice,…
Descriptors: Trust (Psychology), Learning Analytics, Privacy, Artificial Intelligence
Stephen John Elliot – ProQuest LLC, 2023
Organizations face many cybersecurity threats. Among those threats, social engineering attacks such as phishing stand out as a constant and costly struggle. The primary tools for combating social engineering are information security policy (ISP) and security awareness training (SAT), which seek to inform users of the threat of social engineering,…
Descriptors: Space Sciences, Safety Education, Compliance (Legal), Information Security
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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
Xuandong Zhao – ProQuest LLC, 2024
The rapid advancement of powerful Large Language Models (LLMs), such as ChatGPT and Llama, has revolutionized the world by bringing new creative possibilities and enhancing productivity. However, these advancements also pose significant challenges and risks, including the potential for misuse in the form of fake news, academic dishonesty,…
Descriptors: Computational Linguistics, Intellectual Property, Artificial Intelligence, Productivity
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Hsiao-Ping Hsu; Janice Mak; Jennifer Werner; Janel White-Taylor; Melissa Geiselhofer; Alan Gorman; Carolina Torrejon Capurro – Journal of Technology and Teacher Education, 2024
As part of an international collaborative design-based research initiative, this study examines the applications and perceptions of generative artificial intelligence (Gen AI) among pre-service primary teachers within an Irish educational program. It focuses on how personal and academic uses of Gen AI influence their perceptions of using Gen AI…
Descriptors: Lesson Plans, Student Attitudes, Artificial Intelligence, Teacher Education Programs
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Dirk Ifenthaler; Rwitajit Majumdar; Pierre Gorissen; Miriam Judge; Shitanshu Mishra; Juliana Raffaghelli; Atsushi Shimada – Technology, Knowledge and Learning, 2024
One trending theme within research on learning and teaching is an emphasis on artificial intelligence (AI). While AI offers opportunities in the educational arena, blindly replacing human involvement is not the answer. Instead, current research suggests that the key lies in harnessing the strengths of both humans and AI to create a more effective…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Researchers, School Personnel
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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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Jones, Kyle M. L.; Briney, Kristin A.; Goben, Abigail; Salo, Dorothea; Asher, Andrew; Perry, Michael R. – College & Research Libraries, 2020
Universities are pursuing learning analytics practices to improve returns from their investments, develop behavioral and academic interventions to improve student success, and address political and financial pressures. Academic libraries are additionally undertaking learning analytics to demonstrate value to stakeholders, assess learning gains…
Descriptors: Academic Libraries, Learning Analytics, Privacy, 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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