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Rets, Irina; Herodotou, Christothea; Gillespie, Anna – Journal of Learning Analytics, 2023
The progressive move of higher education institutions (HEIs) towards blended and online environments, accelerated by COVID-19, and their access to a greater variety of student data has heightened the need for ethical learning analytics (LA). This need is particularly salient in light of a lack of comprehensive, evidence-based guidelines on ethics…
Descriptors: Ethics, Learning Analytics, Evidence Based Practice, Guidelines
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Witman, Paul D.; Prior, Jim; Mackelprang, Scott – Information Systems Education Journal, 2023
This case study looks both backwards and forwards at real and potential incidents and risks created by the use of various levels of self-driving vehicles. The case provides background on autonomous vehicle technology, the legal and risk management frameworks involved, and a variety of scenarios for students to consider. The scenarios provide the…
Descriptors: Risk Management, Motor Vehicles, Traffic Safety, Artificial Intelligence
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O'Donoghue, Kevin – Journal of Academic Ethics, 2023
Higher education institutions are increasingly relying on learning analytics to collect voluminous amounts of data ostensibly to inform student learning interventions. The use of learning analytics, however, can result in a tension between the Council for the Advancement of Standards in Higher Education (CAS) principles of autonomy and…
Descriptors: Higher Education, Privacy, Learning Analytics, Academic Standards
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Debs, Luciana; Gray, Colin M.; Asunda, Paul A. – International Journal of Technology and Design Education, 2023
Discussions around the unethical use of emerging technology have become increasingly common in our society. Despite previous research acknowledging the importance of including societal-level discussions in engineering and technology undergraduate curricula, there is a lack of research around college students' understanding of and engagement with…
Descriptors: Educational Technology, Technology Uses in Education, Ethics, Engineering Education
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Schröder, Jette; Schmiedeberg, Claudia – Sociological Methods & Research, 2023
Despite the fact that third parties are present during a substantial amount of face-to-face interviews, bystander influence on respondents' response behavior is not yet fully understood. We use nine waves of the German Family Panel "pairfam" and apply fixed effects panel regression models to analyze effects of third-party presence on…
Descriptors: Housework, Item Analysis, Interpersonal Relationship, Responses
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Rory McGreal – International Journal of E-Learning & Distance Education, 2023
Micro-credentials can provide easily accessible and transparent evidence of skills or knowledge that have been certified by an authority, based on small units of learning. The recognition and transfer of credits is becoming essential, as an increasing number of students are studying at different institutions, often at the same time, online or in…
Descriptors: Microcredentials, Information Storage, Databases, Technology Uses in Education
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Matthieu Tenzing Cisel – International Review of Research in Open and Distributed Learning, 2023
Due notably to the emergence of massive open online courses (MOOCs), stakeholders in online education have amassed extensive databases on learners throughout the past decade. Administrators of online course platforms, for instance, possess a broad spectrum of information about their users. This information spans from users' areas of interest to…
Descriptors: MOOCs, Ethics, Risk, Databases
Pagpatan, Vikram – ProQuest LLC, 2023
Occupational therapy students (OTSs) who misuse social media within academic and clinical learning environments may increase the instances of ethical health care violations and breaches of professional codes of conduct. The purpose of this quantitative, cross-sectional study was to assess the social media competency (SMC) scores of OTSs based on…
Descriptors: Gender Differences, Age Differences, Educational Attainment, Occupational Therapy
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
Privacy Technical Assistance Center, 2023
This guidance document provides school officials with general information about the Family Educational Rights and Privacy Act (FERPA), with a particular focus on student health records maintained by educational agencies and institutions and by third parties acting on their behalf.
Descriptors: Student Records, Privacy, Educational Legislation, Parent Rights
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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