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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
Buddhi Pathak; Mhd Fadi Alakkad; Vikas Kumar – Higher Education Quarterly, 2025
Blockchain (BC) technology is widely believed to be the next disruptive technology that can address challenges in higher education institutions (HEIs) and support resilient strategies. This study aims to contribute to the literature and inform policymakers about BC's capability and potential in HE by examining enablers, barriers and contextual…
Descriptors: Educational Environment, Technology Uses in Education, Information Technology, Educational Technology
Mahendra Prasad Pandey – Discover Education, 2025
Comparative education is advancing with a growing emphasis on innovative research methodologies; however, integrating these approaches to address complex global education challenges remains difficult. While traditional qualitative methods are valuable, they often fail to capture the multifaceted nature of today's educational landscape. This review…
Descriptors: Innovation, Research Methodology, Educational Research, Educational Trends
Ning Wang; Ying Li; Fengyu Cong – Journal of Academic Ethics, 2025
Privacy concerns are among the most critical ethical issues in applying generative artificial intelligence (GAI) tools in education. This study examines university students' privacy concerns regarding GAI, investigating the causes, consequences, and educational implications of these concerns. We employed a qualitative research design featuring…
Descriptors: College Students, Student Attitudes, Privacy, Artificial Intelligence
Mariano Velamazán; Patricia Santos; J. Roberto Sánchez-Reina; Davinia Hernández-Leo – Education and Information Technologies, 2025
Most research on anonymity in computer-supported collaborative learning, which has reported both positive and negative outcomes, largely focuses on a fully anonymous login mode. In this context, further research is necessary to finetune the approach to the 'login mode' to optimise the potential benefits while mitigating the drawbacks. This study…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Privacy, Computer Mediated Communication
Mircea Talu – Journal of Cybersecurity Education, Research and Practice, 2025
The profound impact of the Internet of Things (IoT) on various fronts, is driven by technological advancements, the ubiquitous spread of information, and the emergence of transformative events. IoT presents a diverse array of possibilities within university environments, fostering a more connected and enhanced educational experience. This research…
Descriptors: Computer Security, Technology Uses in Education, Information Security, Higher Education
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
Carrie Klein; Sean Baser; Jessica Colorado – State Higher Education Executive Officers, 2024
Integrity, security, and sustained investment in data systems are critical for state agencies and stakeholders to effectively harness information to inform policy and decision-making in postsecondary education. Recognizing this crucial need, the State Higher Education Executive Officers Association (SHEEO) has led the charge with its State…
Descriptors: Postsecondary Education, Educational Finance, Governance, Data Collection
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
José Pedro Amorim; Thiago Freires; Fernanda Rodrigues; Joaquim Luís Coimbra; Isabel Menezes – Journal of Higher Education Outreach and Engagement, 2023
University social responsibility (USR) is a fashionable concept that is often presented as a paradox, with the implication that it can help universities meet the social dimension of higher education, without questioning the hegemonic meanings of academic excellence and the university mission. We draw on data collected through a focus group of…
Descriptors: Universities, Social Responsibility, Educational Change, Higher Education

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