Other Resources for Data-Driven Decisionmaking

A Conceptual Framework for Data-Driven Decision Making

May 21, 2017 | Mathematica Policy Research

A Conceptual Framework for Data-Driven Decision Making

The Bill & Melinda Gates Foundation, which has funded four initiatives promoting strategic use of data at the state and district levels (see appendix), requested that Mathematica Policy Research develop a conceptual framework for data – driven decision making (DDDM) based upon knowledge generated from Mathematica’s evaluation of the strategic data use initiatives and from […]

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How leaders can support teachers with data-driven decision making

May 21, 2017 | Educational ManagementAdministration & Leadership

How leaders can support teachers with data-driven decision making

As accountability systems have increased demands for evidence of student learning, the use of data in education has become more prevalent in many countries. Although school and administrative leaders are recognizing the need to provide support to teachers on how to interpret and respond to data, there is little theoretically sound research on data-driven decision […]

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Model: How is Education Data Used? (Colorado)

May 15, 2017 | Colorado Department of Education

Model: How is Education Data Used? (Colorado)

This guidance helps guide parents, teachers, schools, districts and state leaders as they work together to improve student achievement so all children graduate ready for college and career. While using data effectively to guide improvement in instruction and student achievement, the Colorado Department of Education provides this guide to show how it handles its responsibility to protect student […]

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Protecting Student Privacy in Research Projects

May 12, 2017 | Education New York

Protecting Student Privacy in Research Projects

While a great deal of attention has been paid recently to protecting the privacy of students’ personal information and education records, this resource argues that families and educators also need to be aware of the use and disclosure of students‘ personal information in research conducted by universities and other entities. This resource explores some potential […]

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360 Self Assessment Tool

May 12, 2017 | iKeepSafe

360 Self Assessment Tool

The Generation Safe 360 Self Assessment tool provides a review of the school’s e-safety competence and helps schools identify their progress in becoming a Generation Safe Gold Medal School. Schools rate their development of and compliance with e-safety policies. It identifies areas of concern and makes recommendations for improved e-safety readiness.

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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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Ensuring Equity in ESSA: The Role of N-Size in Subgroup Accountability

May 10, 2017 | Alliance for Excellent Education

Ensuring Equity in ESSA: The Role of N-Size in Subgroup Accountability

This report recommends that states set their n-size as low as possible (ten or fewer students) to maximize the number of student subgroups created. This will ensure that states identify student subgroups with low academic performance and/or low high school graduation rates and provide targeted interventions to support the schools those students attend. Specifically, states should not require a […]

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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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