Other Resources for Big Data

The Promise and Peril of Predictive Analytics in Higher Education

May 11, 2017 | New America

The Promise and Peril of Predictive Analytics in Higher Education

In ‘The Promise and Peril of Predictive Analytics in Higher Education: A Landscape Analysis,’ authors Manuela Ekowo and Iris Palmer describe how predictive analytics are used in higher education to identify students who need extra support, steer students in courses they will do well in, and provide digital tools that can customize the learning process […]

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Predictive Analytics in Higher Education: Five Guiding Practices for Ethical Use

May 11, 2017 | New America

Predictive Analytics in Higher Education: Five Guiding Practices for Ethical Use

This report discusses the use of data in higher education, which are primarily used in the following ways: • Early-Alert Systems. In an early-alert system, flags are triggered based on academic and nonacademic data from students that signal when they may need additional support. Academic interventions may include tutoring, meetings with an adviser, or assigning a […]

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Big Data in the Campus Landscape

May 11, 2017 | EDUCAUSE

Big Data in the Campus Landscape

This paper is a publication of the ECAR Campus Cyberinfrastructure (ECAR-CCI) Working Group. It is the third paper in a four-part series focusing on Big Data in the Campus Landscape. ECAR working groups bring together higher education IT leaders to address core technology challenges. Individuals at EDUCAUSE member institutions are invited to collaborate on projects […]

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Student Privacy in Learning Analytics: An Information Ethics Perspective

May 10, 2017 | University of Wisconsin-Madison

Student Privacy in Learning Analytics: An Information Ethics Perspective

Higher education institutions have started using big data analytics tools. By gathering information about students as they navigate information systems, learning analytics employs techniques to understand student behaviors and to improve instructional, curricular, and support resources and learning environments. However, learning analytics presents important moral and policy issues surrounding student privacy. We argue that there […]

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A Report on Building the Field of Learning Analytics for Personalized Learning at Scale

May 9, 2017 | Stanford University

A Report on Building the Field of Learning Analytics for Personalized Learning at Scale

The research and associated report, conducted under the auspices of the Learning Analytics Workgroup, describe how education data could transform how students are taught; how teachers are prepared and further developed; how education research is conducted; how education-related information is used and managed; and how foundations’ funds are allocated. The report points to the ways […]

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Learning Analytics and Educational Data Mining: Towards Communication and Collaboration

May 9, 2017 | Columbia University

Learning Analytics and Educational Data Mining: Towards Communication and Collaboration

Growing interest in data and analytics in education, teaching, and learning raises the priority for increased, high-quality research into the models, methods, technologies, and impact of analytics. Two research communities – Educational Data Mining (EDM) and Learning Analytics and Knowledge (LAK) have developed separately to address this need. This paper argues for increased and formal […]

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Is Privacy a Show-stopper for Learning Analytics?

May 9, 2017 | Learning Analytics Community Exchange

Is Privacy a Show-stopper for Learning Analytics?

This review paper considers the dangers that might be raised by learning analytics. It then explores the ethical perspectives on privacy and data which are relevant to these dangers. Finally it presents and discusses a number of current proposals from institutions which propose ways of addressing privacy problems in learning analytics.

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Big Data and Analytics in K-12 Education: The Time is Right

May 9, 2017 | Center for Digital Education

Big Data and Analytics in K-12 Education: The Time is Right

This one pager discusses how detailed data about student demographics and test results isn’t easily accessible to the people who need it most — classroom teachers, principals and instructional support staff. It discusses strategies for how to find insights that teachers and schools need in order to pinpoint teaching and learning problems and identify the best […]

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Educational Data Mining and Learning Analytics

May 9, 2017 | Columbia University

Educational Data Mining and Learning Analytics

Analytics has become a trend over the last several years, reflected in large numbers of graduate programs promising to make someone a master of analytics, proclamations that analytics skills offer lucrative employment opportunities (Manyika et al., 2011), and airport waiting lounges filled with advertisements from different consultancies promising to significantly increase profits through analytics. When […]

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