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Kyle M. L. Jones; Amy VanScoy; Alison Harding; Amy Martin – Journal of Computing in Higher Education, 2025
To explore various stakeholders' understanding of student privacy and how protections for it are enacted on their campus, we conducted interviews with 27 faculty, instructional designers, and academic librarians at Very High Research Activity universities across the United States. Although there were no interview questions concerning the pandemic,…
Descriptors: Privacy, Governance, Student Needs, Instructional Design
Francis, Mary – ProQuest LLC, 2023
Learning analytics are starting to become standardized in higher education as institutions use the techniques of Big Data analytics to make decisions to help them reach their goals. The widespread use of student information brings forth ethical concerns primarily in relation to privacy. While the overarching ethical issues related to learning…
Descriptors: Learning Analytics, College Students, Privacy, Ethics
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Seda Özer Sanal; Büsra Çiçek – British Journal of Educational Technology, 2024
In addition to learning effectively and effectively in online learning communities (OLCs), students must be in a secure environment and privacy must be respected. The study aimed to identify privacy violations that university students encounter in OLCs, and identify recommendations and some strategies to implement to ensure privacy at the OLC. A…
Descriptors: Communities of Practice, Electronic Learning, Privacy, College Students
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Wollny, Sebastian; Di Mitri, Daniele; Jivet, Ioana; Muñoz-Merino, Pedro; Scheffel, Maren; Schneider, Jan; Tsai, Yi-Shan; Whitelock-Wainwright, Alexander; Gaševic, Dragan; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2023
Background: Learning Analytics (LA) is an emerging field concerned with measuring, collecting, and analysing data about learners and their contexts to gain insights into learning processes. As the technology of Learning Analytics is evolving, many systems are being implemented. In this context, it is essential to understand stakeholders'…
Descriptors: Foreign Countries, College Students, Learning Analytics, Expectation
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Mostafa Al-Emran; Bassam Abu-Hijleh; AbdulRahman A. Alsewari – Education and Information Technologies, 2025
Generative Artificial Intelligence (AI) refers to advanced systems capable of creating new content by learning from vast datasets, including text, images, and code. These AI tools are increasingly being integrated into various sectors, including education, where they have the potential to enhance learning experiences. While the existing literature…
Descriptors: Artificial Intelligence, Technology Integration, Information Systems, Success
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Lachheb, Ahmed; Abramenka-Lachheb, Victoria; Moore, Stephanie; Gray, Colin – British Journal of Educational Technology, 2023
Maintaining students' privacy in higher education, an integral aspect of learning design and technology integration, is not only a matter of policy and law but also a matter of design ethics. Similar to faculty educators, learning designers in higher education play a vital role in maintaining students' privacy by designing learning experiences…
Descriptors: Design, Ethics, Privacy, Instructional Design
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Guo, Xiaochuan – Higher Education Studies, 2023
The psychological crises of university students are an important factor affecting the security and stability of colleges and universities. Against the background of school governance, the definition and characteristics of college students' psychological crisis events should be correctly understood and the legal risks clearly classified to help…
Descriptors: College Students, Mental Health, Psychological Needs, Crisis Intervention
Andrea E. Green – ProQuest LLC, 2024
No solution can ultimately eliminate cheating in online courses. However, universities reserve funding for authentication systems to minimize the threat of cheating in online courses. Most higher education institutions use a combination of authentication methods to secure systems against impersonation attacks during online examinations.…
Descriptors: College Students, Cheating, Online Courses, Intervention
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Juliana Elisa Raffaghelli; Marc Romero Carbonell; Teresa Romeu-Fontanillas – Information and Learning Sciences, 2024
Purpose: It has been demonstrated that AI-powered, data-driven tools' usage is not universal, but deeply linked to socio-cultural contexts. The purpose of this paper is to display the need of adopting situated lenses, relating to specific personal and professional learning about data protection and privacy. Design/methodology/approach: The authors…
Descriptors: Artificial Intelligence, Data Collection, Information Literacy, Intervention
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Blackmon, Stephanie J.; Major, Claire H. – British Journal of Educational Technology, 2023
This systematic review involved reexamining student perceptions of privacy in online, hybrid and technology-enhanced courses. The research questions included identifying key findings from studies on student privacy. The researchers followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology and completed…
Descriptors: Student Attitudes, Privacy, Online Courses, Blended Learning
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Ramlah Mailok; Haslina Hassan; Che Soh Said; Mashitoh Hashim – International Journal on Social and Education Sciences, 2023
Over recent years, the sharing of personal data among students is uncontrolled, especially on the social media networks, resulting in widespread data intrusions that compromise their privacy and confidentiality. Against this backdrop, this study was conducted to identify the level of knowledge of personal data protection among students. This…
Descriptors: Information Security, Knowledge Level, Foreign Countries, Privacy
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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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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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Jones, Kyle M. L.; Goben, Abigail; Perry, Michael R.; Regalado, Mariana; Salo, Dorothea; Asher, Andrew D.; Smale, Maura A.; Briney, Kristin A. – portal: Libraries and the Academy, 2023
Higher education data mining and analytics, like learning analytics, may improve learning experiences and outcomes. However, such practices are rife with student privacy concerns and other ethics issues. It is crucial that student privacy expectations and preferences are considered in the design of educational data analytics. This study forefronts…
Descriptors: College Students, Student Attitudes, Data Collection, Learning Analytics
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