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Stacey Lynn von Winckelmann – Information and Learning Sciences, 2023
Purpose: This study aims to explore the perception of algorithm accuracy among data professionals in higher education. Design/methodology/approach: Social justice theory guided the qualitative descriptive study and emphasized four principles: access, participation, equity and human rights. Data collection included eight online open-ended…
Descriptors: Prediction, Algorithms, Racism, Accuracy
Lo, Jane C.; Hodgin, Erica R.; Garcia, Antero – Democracy & Education, 2022
While traditional civic education in the United States is inextricably linked to notions of a public sphere, this paper argues that the digital era requires a reimagining of this premise. The opaque nature of digital spaces makes it difficult for young people to understand how large of an audience they are interacting with and to what extent a…
Descriptors: Citizenship Education, Teaching Methods, Semiotics, Privacy
Jacqueline Roos; Andrea Möhn; Albert Ponsioen; Robert Didden – Journal of Developmental and Physical Disabilities, 2025
To observe changes in three clients with intellectual disabilities and severe behavioral problems and staff in a long-term care residential facility after redesigning the clients' rooms by making them more personal and homely, adjusting the amount of stimuli, changing the layout, connecting to the outdoor area, and using high-quality natural…
Descriptors: Intellectual Disability, Behavior Problems, Facility Improvement, Residential Care
Clare Maria Nee; Declan Fahie – Child Care in Practice, 2025
This paper examines the challenges service providers encounter when supporting children in Direct Provision in Ireland. It focuses particularly on the organisations--both voluntary and statutory--that are charged with providing support for this vulnerable cohort. Specifically, the paper considers the roadblocks these organisations face helping…
Descriptors: Foreign Countries, Child Caregivers, Barriers, Advocacy
Klarisa I. Vorobyeva; Svetlana Belous; Natalia V. Savchenko; Lyudmila M. Smirnova; Svetlana A. Nikitina; Sergei P. Zhdanov – Contemporary Educational Technology, 2025
In this analysis, we review artificial intelligence (AI)-supported personalized learning (PL) systems, with an emphasis on pedagogical approaches and implementation challenges. We searched the Web of Science and Scopus databases. After the preliminary review, we examined 30 publications in detail. ChatGPT and machine learning technologies are…
Descriptors: Individualized Instruction, Artificial Intelligence, Intelligent Tutoring Systems, Ethics
Craig E. Smith; Kenneth J. Varnum – College & Research Libraries, 2025
We explored the motivations of 588 university library patrons who chose to either have the library retain their checkout histories or not. We also examined associations between checkout history choice and both general data privacy concerns, and campus role. Over 90% opted to retain their histories. This group, compared to the no-retain group, had…
Descriptors: Academic Libraries, Users (Information), Library Services, Privacy
Ziqing Peng; Yan Wan – Education and Information Technologies, 2025
What makes students prefer to self-disclosure to AI teaching assistant (AI TA) than human teaching assistants? Understanding this question can help online learning platforms better understand students' needs in the data collection stage to provide more appropriate recommendations and deploy AI and human-AI collaboration more effectively. Based on…
Descriptors: Teaching Assistants, Artificial Intelligence, Student Attitudes, Self Disclosure (Individuals)
Anurata Prabha Hridi; Muntasir Hoq; Zhikai Gao; Collin Lynch; Rajeev Sahay; Seyyedali Hosseinalipour; Bita Akram – International Educational Data Mining Society, 2025
Social interactions among classroom peers, represented as social learning networks (SLNs), play a crucial role in enhancing learning outcomes. While SLN analysis has recently garnered attention, most existing approaches rely on centralized training, where data is aggregated and processed on a local/cloud server with direct access to raw data.…
Descriptors: Privacy, Peer Relationship, Online Courses, Social Networks
Eva Heinrich – Open Praxis, 2025
Online proctoring systems are employed to monitor students during exams, safeguarding assessment integrity when in-person observation is not feasible. The systems leverage advanced technologies, including artificial intelligence (AI) and biometrics, to authenticate students and identify potential exam rule violations. However, concerns about data…
Descriptors: Supervision, Privacy, Information Security, Artificial Intelligence
Samar S. Aad; Mariann Hardey – Emerald Publishing Limited, 2025
In a landscape where technological advancements are disrupting and reshaping the educational paradigm, "After Generative AI" serves as a comprehensive guide to navigate the complexities and opportunities presented by Generative AI (GAI) and guide readers through strategies that must be implemented for a successful journey with GAI. From…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Change, Educational Strategies
Nicole F. Tennessen; Lauren N. Irwin – New Directions for Teaching and Learning, 2025
This chapter uses critical perspectives on whiteness to critique higher education's institutional research practice. After briefly describing institutional research, we summarize scholarship about autonomy, ethics, and predictive analytics to illustrate how existing guidance and beliefs about institutional research often dehumanize students by…
Descriptors: Whites, Racism, Higher Education, Educational Research
Oralbek Yskak; Natalya Seitakhmetova; Sholpan Zhandossova; Marhabbat Nurov – Journal of Social Studies Education Research, 2025
Digital transformation is reshaping social and economic relations through the adoption of digital technologies, playing a crucial role in Kazakhstan's modernization and economic diversification. This study aims to comprehensively analyze the multifaceted process of digital transformation in Kazakhstan, with a particular emphasis on identifying…
Descriptors: Foreign Countries, Mathematical Models, Information Technology, Professional Personnel
C. Beaver – PRIMUS, 2024
In this paper, several research topics are presented that provide productive avenues of exploration for students in an undergraduate cryptography course. The topics are intended for a variety of skill levels and interests. In some cases, a student might be inspired to try to solve the proposed problem or write computer code. Other topics might…
Descriptors: Technology, Coding, Undergraduate Students, Student Projects
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
Lindsey S. Ward – ProQuest LLC, 2023
Educational institutions increasingly rely on educational technology to deliver academic experiences, particularly since the COVID-19 pandemic. This study focused on graduate students' attitudes about online privacy specific to use of technology for educational purposes. Students who participated were all current students at a university in the…
Descriptors: Graduate Students, Student Attitudes, Privacy, Technology

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