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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
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
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
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
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
Sara M. Weinkauf – ProQuest LLC, 2024
All children in the United States have a right to effective education. While an optimal learning environment is important for all students, children with disabilities are particularly vulnerable to barriers to accessing high-quality learning environments. Many parents of children receiving special education services want to be strong advocates for…
Descriptors: Parents, Parent Attitudes, Special Education, Child Advocacy
Allyson Skene; Laura Winer; Erika Kustra – International Journal for Academic Development, 2024
This article explores potential uses, misuses, beneficiaries, and tensions of learning analytics in higher education. While those promoting and using learning analytics generally agree that ethical practice is imperative, and student privacy and rights are important, navigating the complex maze of ethical dilemmas can be challenging, particularly…
Descriptors: Learning Analytics, Higher Education, Ethics, Privacy
Mariel Anne Farrar Werner – ProQuest LLC, 2024
When multiple clients are collaboratively learning and training a shared model, incentives problems can arise. The clients may have different learning objectives and application domains, or they may be competitors whose participation in the learning system could reduce their competitive advantage. While collaborative learning is a powerful…
Descriptors: Cooperative Learning, Alignment (Education), Educational Objectives, Incentives
Oliver G. Kayas; Karl Matikonis; Eleanor E. Cranmer; Jorge Pereira Campos – Studies in Higher Education, 2024
Research examining privacy in a higher education setting tends to focus on the student perspective whilst largely overlooking the academic perspective. Moreover, it fails to fully conceptualise the social, relational, and contextual complexities of privacy and the vital role it has on academics' ability to form their identity. To address these…
Descriptors: Foreign Countries, Business Schools, College Faculty, Privacy
Hannah Fechtel; Sienna Ruiz; Julie Spray; Erika A. Waters; James Shepperd; Jean Hunleth – International Journal of Social Research Methodology, 2024
Virtual technologies gained popularity during the COVID-19 pandemic for use in research, including research with children. As scholarship from the field of science, technology and society (STS) suggests, technologies are never neutral, but embedded with social values and, as such, used by people to navigate identities and relationships. Building…
Descriptors: Children, Power Structure, Interpersonal Relationship, Privacy
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
Selwyn, Neil; Campbell, Liz; Andrejevic, Mark – Learning, Media and Technology, 2023
This paper considers how facial recognition technology is coming to find a place in contemporary schooling. Drawing on the 'script analysis' approach from the field of Science and Technology Studies, the paper examines the development of a facial recognition-based classroom recognition system by an Australian start-up company -- 'AutoRoll'.…
Descriptors: Nonverbal Communication, Technology Uses in Education, Human Body, Foreign Countries