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Doug Ward; Heidi G. Loshbaugh; Alison L. Gibbs; Tim Henkel; Greg Siering; Jim Williamson; Mark Kayser – Change: The Magazine of Higher Learning, 2024
In this article, the authors posit that generative artificial intelligence offers universities an opportunity to make long-needed structural changes in teaching and learning. Given the complexities of generative AI, faculty need time and resources to learn to use it effectively and to adapt classes in ways that help students approach AI ethically…
Descriptors: Artificial Intelligence, Faculty, Digital Literacy, Ethics
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Chaka Chaka; Thembeka Shange – Turkish Online Journal of Distance Education, 2024
This study reports on the experiences students registered for a first-year, undergraduate English Studies module and English Studies lecturers had with the Invigilator app during an online examination in the first semester of 2023. Current research indicates that e-proctoring induces anxiety and uncertainty in students when they write online…
Descriptors: Computer Oriented Programs, Computer Assisted Testing, Supervision, College Freshmen
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Huiling Ma; Lilliati Ismail; Weijing Han – Education and Information Technologies, 2024
The advancement and application of Artificial Intelligence (AI) has introduced innovative changes in language learning and teaching. In particular, the widespread utilization of various chatbots as foreign language learning partners showcases their remarkable potential contribution to the field. Nevertheless, there are currently few studies that…
Descriptors: Bibliometrics, Artificial Intelligence, Computer Software, Second Language Learning
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Florence Martin; Doreen Mushi; Siyu Long; Julie Bacak; Drew Polly; Weichao Wang; Lynn Ahlgrim-Delzell – Journal of Technology and Teacher Education, 2024
Digital safety involves protecting oneself, and one's personal information to mitigate the risks that are inherently associated with using digital technologies. This study employed a multi-method design to explore 26 inservice and preservice elementary teacher experiences from attending a professional development on digital safety and facilitating…
Descriptors: Safety, Preservice Teachers, Elementary School Teachers, Summer Programs
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Ferguson, Daniel E.; Nichols, T. Philip – International Journal of Qualitative Studies in Education (QSE), 2021
In field-based research, masking practices, as well as the general practice of relegating historical context to abstracted 'site descriptions' in a paper's methodology section, can produce a tacit inattention to historical specificity. By juxtaposing two case studies of schools, this article examines the ways school sites are haunted by…
Descriptors: Privacy, Educational Research, History, Qualitative Research
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Melton, James; Miller, Robert; Dunn, Paul – Journal of Technical Writing and Communication, 2021
Cybervetting, or the review of job applicants' social media accounts, is a common practice. This study investigates the use of a typology to increase students' self-awareness by asking them to assess their social media presence. The majority of Facebook users concluded they post content that is appropriate for potential employers, while most…
Descriptors: Student Evaluation, Social Media, Job Applicants, Self Evaluation (Individuals)
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Gilman Ranogajec, Mirna; Badurina, Boris – Education for Information, 2021
In today's Information society it is an everyday scenario to be a part of an online community such as social media. Participation has become almost mandatory to the point of acting as a virtual extremity to one's physical environment. This virtual extremity is the individual's window to the outside world and vice versa. The process of being a part…
Descriptors: Confidence Testing, Social Media, Information Security, Privacy
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Byrne, Virginia L. – TechTrends: Linking Research and Practice to Improve Learning, 2021
Cyberbullying is an emerging equity issue in American higher education with well-documented social, psychological, and academic consequences. Unfortunately, while higher education leaders are grappling with how to respond to cyberbullying victimization among students, their efforts are hindered by the lack of consensus on how to measure…
Descriptors: Undergraduate Students, Bullying, Social Media, Social Isolation
Barry J. Bailey – ProQuest LLC, 2021
Learning analytics systems are software designed to aggregate student data to be analyzed for the purpose of delivering information to students, with the goal of increasing student success, academic goal completion, and retention. Despite being identified as stakeholders and beneficiaries of learning analytics, student perceptions make up a small…
Descriptors: Community College Students, Student Attitudes, Learning Analytics, Ethics
Andrea M. Wilson – ProQuest LLC, 2021
This is a quantitative methods study investigating the perceptions that teacher trainees at a tertiary level educational institution have of the evaluation process for courses and lecturers. Student evaluation of courses and lecturers is mandated by the standards of the University Council of Jamaica (UCJ) and the University of the West Indies…
Descriptors: Foreign Countries, Preservice Teachers, Trainees, Student Attitudes
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Hartman-Caverly, Sarah; Chisholm, Alexandria; Glenn, Alexandrea – College & Research Libraries, 2023
This qualitative, evaluative case study details the conceptual framing, development, delivery, and assessment of a privacy literacy workshop called Digital Shred. The workshop is a multi-institutional effort offered initially in-person in fall 2019 and adapted to virtual delivery in fall 2020. The conceptual framework underlying the workshop…
Descriptors: Privacy, Workshops, Academic Libraries, Digital Literacy
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Sun, Jeffrey C. – British Journal of Educational Technology, 2023
Technology integration and learning analytics offer insights to improve educational experiences and outcomes. In advancing these efforts, laws and policies govern these environments placing protections, standards, and developmental opportunities for higher education, students, faculty, and even the nation-state. Nonetheless, evidence of…
Descriptors: Technology Integration, Privacy, Student Rights, Laws
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Herbenick, Debby; Fu, Tsung-chieh; Patterson, Callie; Rosenstock Gonzalez, Yael R.; Luetke, Maya; Svetina Valdivia, Dubravka; Eastman-Mueller, Heather; Guerra-Reyes, Lucia; Rosenberg, Molly – Journal of American College Health, 2023
Objective: In a random sample of undergraduate students, we aimed to: (1) establish the prevalence of choking and being choked; (2) examine demographic and situational predictors of being choked, and (3) examine demographic and situational predictors of choking someone. Participants: 4168 randomly sampled undergraduates at a large public U.S.…
Descriptors: Undergraduate Students, Incidence, Predictor Variables, Student Characteristics
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Chan, Cecilia Ka Yuk – International Journal of Educational Technology in Higher Education, 2023
This study aims to develop an AI education policy for higher education by examining the perceptions and implications of text generative AI technologies. Data was collected from 457 students and 180 teachers and staff across various disciplines in Hong Kong universities, using both quantitative and qualitative research methods. Based on the…
Descriptors: Artificial Intelligence, Educational Policy, College Instruction, Higher Education
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Suvineetha Herath; Haywood Gelman; Lisa Mckee – Journal of Cybersecurity Education, Research and Practice, 2023
In today's data-sharing paradigm, personal data has become a valuable resource that intensifies the risk of unauthorized access and data breach. Increased data mining techniques used to analyze big data have posed significant risks to data security and privacy. Consequently, data breaches are a significant threat to individual privacy. Privacy is…
Descriptors: Information Security, Privacy, Data, Standards
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