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Model Website: WI Student & School Data

May 16, 2017 | Wisconsin Department of Public Instruction

Model Website: WI Student & School Data

All information is data. When put into the hands of an educator or family member, it can help a student overcome challenges and build upon strengths. But individual data points don’t give the full picture needed to support the education goals of families, students, educators, and policymakers. That is why the Department of Public Instruction advocates for the […]

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Model: WI Student Records and Confidentiality

May 16, 2017 | Wisconsin Department of Public Instruction

Model: WI Student Records and Confidentiality

Over the years, the Department of Public Instruction (DPI) has received many questions about student records. This bulletin addresses some of the most frequently asked questions and replaces Information Update Bulletin 98.02 Pupil Records of Students with Exceptional Educational Needs.

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Model: WI Sharing Information Across Systems

May 16, 2017 | Wisconsin Department of Public Instruction

Model: WI Sharing Information Across Systems

In general, confidential information may only be shared under one of three conditions: 1) a signed authorization that consents to the release of information, 2) a court order, or 3) authorization of statute. This publication focuses on the third of these three conditions and is designed for educators, law enforcement personnel, juvenile justice and human […]

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Student Surveillance, Racial Inequalities, and Implicit Racial Bias

May 15, 2017 | University of Florida Levin College of Law

Student Surveillance, Racial Inequalities, and Implicit Racial Bias

This article presents data on school surveillance practices, including an original empirical analysis of restricted data recently released by the U.S. Department of Education after the shootings at Sandy Hook Elementary School. Paralleling other disturbing trends of inequality in our public school system, these results and other empirical analyses reveal that schools serving primarily students […]

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Model: Staff Data Sensitivity Levels Matrix

May 15, 2017 | Ventura County Office of Education

Model: Staff Data Sensitivity Levels Matrix

This is a sample matrix for LEA officials who wish to categorize the sensitivity of staff data and determine which staff needs access.

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Recommendations for the Ed Tech Industry to Protect the Privacy of Student Data

May 15, 2017 | California Department of Justice

Recommendations for the Ed Tech Industry to Protect the Privacy of Student Data

In the information age, technology holds the potential to unlock countless new opportunities to educate students for the workforce of tomorrow. And while we want to encourage technology in the classroom, we must be aware that student information is something that must be handled with great care. Organizations that make use of student data must […]

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Model: California Data Privacy Guidebook

May 15, 2017 | Fagen Friedman & Fulfrost LLP

Model: California Data Privacy Guidebook

California school districts and County Offices of Education—collectively, Local Educational Agencies (“LEAs”)—collect a vast amount of data in providing educational and related services. This data may include pupil records, medical records, financial information, and more. With the advent of individualized learning management systems, LEAs are sharing such data with third-party vendors more than ever before. […]

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2004 Forum Guide to Protecting the Privacy of Student Information: State and Local Education Agencies

May 14, 2017 | National Forum on Education Statistics

2004 Forum Guide to Protecting the Privacy of Student Information: State and Local Education Agencies

The primary purpose of this document is to help state and local education agencies and schools develop adequate policies and procedures to protect information about students and their families from improper release, while satisfying the need for school officials to make sound management, instructional, and service decisions. The document was developed under the direction of […]

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Attributes of Effective Data Products Checklist

May 14, 2017 | Statewide Longitudinal Data Systems State Support Team

Attributes of Effective Data Products Checklist

Effective data products—such as reports, dashboards, and data visualizations—provide appropriate, actionable information in useful ways that are designed to meet the needs of their intended users. This checklist describes several key characteristics of effective data products.

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