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Ess Pokornowski; Roger C. Schonfeld – ITHAKA S+R, 2024
Research libraries are expected to provide and preserve collections in support of their institutions' research and teaching priorities and to support long-term access to cultural, historical, and scientific works. In today's polarized political environment, both libraries and universities have been at the heart of controversy. In this project, the…
Descriptors: Academic Libraries, Librarians, Censorship, Academic Freedom
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Emma Day; Kruakae Pothong; Ayça Atabey; Sonia Livingstone – Learning, Media and Technology, 2024
A socio-legal analysis of the UK governance regime for data collected from children at school for teaching and learning contrasts the government-mandated data collection by schools to inform educational policy and planning with data processed and shared with third parties by commercial EdTech providers. We find the former is effectively governed…
Descriptors: Foreign Countries, Data Collection, Information Security, Student Records
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Fernando Filgueiras – Education, Citizenship and Social Justice, 2024
Artificial intelligence (AI) and big data methodologies have provided a vast possibility of applications in different public policy sectors. AI and big data provide essential innovations in school teaching and learning practices, curriculum, and management in education, transforming the entire formulation and implementation of education policy.…
Descriptors: Artificial Intelligence, Social Justice, Technology Uses in Education, Educational Technology
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Kim Becnel; Robin A. Moeller – Journal of Education for Library and Information Science, 2024
To understand the effect of library science coursework on student perceptions of issues related to intellectual freedom, researchers surveyed students at the start and end of their enrollment in a Master of Library Science program. When the results were compared, the percentage of graduating students who indicated that they might rethink…
Descriptors: Masters Programs, Graduate Students, Librarians, Librarian Attitudes
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Priya C. Kumar – Information and Learning Sciences, 2024
Purpose: This article advocates that privacy literacy research and praxis mobilize people toward changing the technological and social conditions that discipline subjects toward advancing institutional, rather than community, goals. Design/methodology/approach: This article analyzes theory and prior work on datafication, privacy, data literacy,…
Descriptors: Privacy, Information Policy, Data Use, Literacy
Denise Nadasen – Association of Public and Land-grant Universities, 2024
The Data Culture Framework is a high-level guide designed for institutional leaders who want to create and sustain an effective data culture on campus. The Framework offers a set of practices designed to help institutions of higher education create and maintain an effective data-informed community among institutional leaders, faculty, and staff.
Descriptors: Land Grant Universities, Data Collection, Data Use, College Faculty
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Ndubuisi Friday Ugwu; Adewumi Segun Igbinlade; Raphael Ezamenyi Ochiaka; Ugochi Debora Ezeani; Nnaemeka Chijioke Okorie; Jacob Kehinde Opele; Toyin Segun Onayinka; Obinna Iroegbu; Ogechi Kate Onyekwere; Adijat Bolanle Adams; Precious Aigbona; Folasade Busayo Ojobola – Higher Learning Research Communications, 2024
Objective: The purpose of the study was to clarify, through the lenses of experts and frontline publishers, ethical dilemmas related to the use of artificial intelligence (AI) in research writing. Method: We conducted a rapid review of expert opinions and publishers' policy statements on ethical considerations in using AI for research writing. We…
Descriptors: Research Papers (Students), Research Reports, Academic Language, Artificial Intelligence
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Ben Williamson; Alex Molnar; Faith Boninger – Commercialism in Education Research Unit, 2024
Ignoring their own well-publicized calls to regulate AI development and to pause implementation of its applications, major technology companies such as Google, Microsoft, and Meta are racing to fend off regulation and integrate artificial intelligence (AI) into their platforms. The weight of the available evidence suggests that the current…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Federal Regulation
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Xiaojun Xu; Guanghui Cheng – College & Research Libraries, 2024
The purpose of this study is to explore the realization of users' information rights (IRs) in the smart service of university libraries. Based on the LibQUAL model, principal component analysis (PCA) is used to measure the quality of smart services in university libraries. The contribution weight of various services to the realization of IRs is…
Descriptors: Foreign Countries, Research Libraries, Academic Libraries, Library Services
Anne Wicks; Amanda Wirtz – George W. Bush Institute, 2024
Determining whether a state's young people are on track for a life of opportunity is a difficult task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and early childhood…
Descriptors: State Legislation, Data Analysis, Learning Analytics, Information Systems