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David Lundie – Journal of Comparative and International Higher Education, 2024
Big Data offers opportunities and challenges in all aspects of human life. In relation to research ethics, Big Data represents a normative difference in degree rather than a difference in kind. Data are more messy, rapid, difficult to predict, and difficult to identify owners; but the principles of informed consent, confidentiality, and prevention…
Descriptors: Data, Data Collection, Data Use, Governance
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
Caspari-Sadeghi, Sima – Cogent Education, 2023
Data-driven decision-making and data-intensive research are becoming prevalent in many sectors of modern society, i.e. healthcare, politics, business, and entertainment. During the COVID-19 pandemic, huge amounts of educational data and new types of evidence were generated through various online platforms, digital tools, and communication…
Descriptors: Learning Analytics, Data Analysis, Higher Education, Feedback (Response)
State Longitudinal Data Systems: Worth the Legislative Investment to Connect Workforce and Education
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
Samantha Szcyrek; Bonnie Stewart – OTESSA Journal, 2022
Over recent decades, higher education infrastructures have become increasingly digitized and datafied. The COVID-19 pandemic accelerated adoption of online learning platforms, trading the walls of the classroom for digital systems. Yet the surveillance, privacy, and discrimination issues that such systems raise are minimally understood by those…
Descriptors: Global Approach, Higher Education, Technology Uses in Education, COVID-19
Javiera Atenasa; Leo Havemannb; Chrissi Nerantzi – Research in Learning Technology, 2024
This paper offers guidance on employing open and creative methods for co- designing critical data and artificial intelligence (AI) literacy spaces and learning activities, rooted in the principles of Data Justice. Through innovative approaches, we aim to enhance participation in learning, research and policymaking, fostering a comprehensive…
Descriptors: Artificial Intelligence, Data, Literacy, Teaching Methods
Madsen, Miriam – Journal of Education Policy, 2021
The increased use of quantitative education data is often regarded by scholars as evidence of the emergence of 'governing by numbers'. These scholars ascribe major stakeholders such as the OECD and nation states agency as they produce, distribute and consume data, and respond to these with policy and management initiatives. This paper argues that…
Descriptors: Measurement, Evaluation Methods, Qualitative Research, Data Analysis
Sara Adan; Amparo Diaz; Nadia Leal-Carrillo; Allison Beer; Valerie Lundy-Wagner; Aisha Lowe – New Directions for Community Colleges, 2024
Across the nation, community colleges have expanded dual enrollment programs to increase college enrollment and completion, particularly among historically underserved populations. The California Community College system--the largest system in the nation--is no different and recently expanded its dual enrollment programming to include College and…
Descriptors: Community Colleges, Dual Enrollment, Equal Education, Student Participation
Moore, Colleen – Education Insights Center, 2020
The Education Insights Center produced a series of reports culminating in recommendations for the structure and governance of a preschool through higher education and into the workforce (known as a P20W data system). This brief follows up on that series, with a focus on data quality; the brief was informed by the author's experience using…
Descriptors: Governance, Preschool Education, Elementary Secondary Education, Higher Education
Prinsloo, Paul – British Journal of Educational Technology, 2019
Data--their collection, analysis and use--have always been part of education, used to inform policy, strategy, operations, resource allocation, and, in the past, teaching and learning. Recently, with the emergence of learning analytics, the collection, measurement, analysis and use of student data have become an increasingly important research…
Descriptors: Learning Analytics, Data Collection, Data Analysis, Measurement
M. Nazir; A. Noraziah; M. Rahmah – International Journal of Virtual and Personal Learning Environments, 2023
An effective educational program warrants the inclusion of an innovative construction that enhances the higher education efficacy in such a way that accelerates the achievement of desired results and reduces the risk of failures. Educational decision support system has currently been a hot topic in educational systems, facilitating the pupil…
Descriptors: Data Analysis, Academic Achievement, Artificial Intelligence, Prediction
Beerkens, Maarja – Quality in Higher Education, 2022
Performance data in higher education has gone through a major development in the last few decades. Simple input measures have given way to increasingly nuanced and dynamic output measures and performance indicators have become an integral part of management at the organisational and system level. The evolution of higher education performance…
Descriptors: Higher Education, Governance, Data Use, College Administration
David Eubanks; Scott A. Moore – Assessment Update, 2025
Assessment and institutional research offices have too much data and too little time. Standard reporting often crowds out opportunities for innovative research. Fortunately, advancements in data science now offer a clear solution. It is equal parts technique and philosophy. The first and easiest step is to modernize data work. This column…
Descriptors: Higher Education, Educational Assessment, Data Science, Research Methodology
Thompson, Terrie Lynn; Prinsloo, Paul – Learning, Media and Technology, 2023
Learning analytics offer centralization of a particular understanding of learning, teaching, and student support alongside data-informed insight and foresight. As such, student-related data in higher education can be imagined and enacted as a 'data frontier' in which the data gaze is expanding, intensifying, and performing new meanings and…
Descriptors: Learning Analytics, Data, Activism, Higher Education
Daniel Clark – Learning, Media and Technology, 2024
Whilst technology may have been the 'saviour' of HE from the immediate challenges of the pandemic, the opportunistic dialogue emerging in response is imbued with notions of the pandemic as a catalyst for change. Empowered by the apparent success of technology's deliverance, the door has been opened to unprecedented investment into a pervasive and…
Descriptors: Educational Technology, Higher Education, Consumer Economics, Neoliberalism