Other Resources for Data Use Examples

Foster Care and Education Q&A

May 11, 2017 | American Bar Association Center on Children and the Law, Education Law Center, and Juvenile Law Center

Foster Care and Education Q&A

This Q&A document addresses how recent changes to FERPA can help child welfare agencies gain access to school records.

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Capacity Enablers and Barriers for Learning Analytics: Implications for Policy and Practice

May 10, 2017 | Alliance for Excellent Education

Capacity Enablers and Barriers for Learning Analytics: Implications for Policy and Practice

Data dashboards are based on the idea that numerous individual performance indicators, such as academic achievement and leadership, correct the shortcomings of accountability systems that rely on a single test score or combine indicators into a difficult-to-interpret index. The report offers policy recommendations to help states and districts to develop data dashboards that provide the […]

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Data Dashboard: Accounting for What Matters

May 10, 2017 | Alliance for Excellent Education

Data Dashboard: Accounting for What Matters

The report offers policy recommendations to help states and districts to develop data dashboards that provide the right indicators for their students and teachers and set realistic goals once indicators are in place.

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Five Ways Community Organizations Can Ensure Effective and Responsible Data Use

May 10, 2017 | Strive Together

Five Ways Community Organizations Can Ensure Effective and Responsible Data Use

Data informed decision-making is a central tenet of cradle to career collective impact efforts, neighborhood-based strategies, community schools initiatives, and other outcomes-focused community-based organizations. The ability of community organizations to access student-level data from schools is critical to understanding what is working and what actions are leading to improved outcomes. To ensure student protection and […]

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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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Improving Student Outcomes with Advanced Analytics

May 9, 2017 | SAS Institute Inc.

Improving Student Outcomes with Advanced Analytics

This paper argues that educators must recognize the need to treat students holistically through: • Meeting the academic needs of students regardless of where they are. That is, developing low-achieving students, supporting middle-range students, and challenging high-level students. • Ensuring progress each year by every student. Growth is not about every student reaching the same […]

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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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