Other Resources for Ed Tech

Student Data Privacy: Going Beyond Compliance

April 6, 2017 | National Association of State Boards of Education (NASBE)

Student Data Privacy: Going Beyond Compliance

Addressing parents’ fears that student data will be abused requires states to shift toward proactive management of education records.

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School Surveillance: The Consequences for Equity and Privacy

April 6, 2017 | National Association of State Boards of Education (NASBE)

School Surveillance: The Consequences for Equity and Privacy

Despite introducing more than 400 bills on student data privacy since 2014, states have yet to address privacy protections for school surveillance or its inequitable effects. “School Surveillance: The Consequences for Equity and Privacy,” examines this important, emerging issue, identifying the benefits and potential problems posed by school surveillance. It suggests six principles to guide […]

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2015 Trends in Student Data Privacy Policies: Where State Boards of Education Fit In

April 6, 2017 | National Association of State Boards of Education (NASBE)

2015 Trends in Student Data Privacy Policies: Where State Boards of Education Fit In

On June 11, 2015, NASBE held a webinar about the new student data privacy laws and national trends resulting from the 2015 state legislative sessions. Rachel Anderson, Data Quality Campaign’s senior associate for policy and advocacy, and Amelia Vance, NASBE director of education data and technology, highlighted lessons learned and steps state board members and […]

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The Ethics of Student Privacy: Building Trust for Ed Tech

April 6, 2017 | Future of Privacy Forum

The Ethics of Student Privacy: Building Trust for Ed Tech

This article analyzes the opportunities and risks of data driven education technologies (ed tech). It discusses the deployment of data technologies by education institutions to enhance student performance, evaluate teachers, improve education techniques, customize programs, devise financial assistance plans, and better leverage scarce resources to assess and optimize education results. Critics fear ed tech could […]

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Student Data: Trust, Transparency and the Role of Consent

April 6, 2017 | Future of Privacy Forum

Student Data: Trust, Transparency and the Role of Consent

“Student Data: Trust, Transparency and the Role of Consent” discusses how over the past decade, new technologies in schools have generated an “explosion of data” for public school systems to use and analyze. Accordingly, the Department of Education has identified the use of student data systems to improve education as a top national priority even […]

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Who Is Reading Whom Now: Privacy in Education from Books to MOOCs

April 6, 2017 | Future of Privacy Forum

Who Is Reading Whom Now: Privacy in Education from Books to MOOCs

“Who Is Reading Whom Now: Privacy in Education from Books to MOOCs” discusses how education technologies, while presenting tremendous opportunities to make education more personalized, accountable, collaborative and engaging through social media, gamification and interactive content, also engender privacy concerns arising from the combination of enhanced data collection with highly sensitive information about children and […]

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A Parents’ Guide to Student Data Privacy

April 6, 2017 | Future of Privacy Forum, ConnectSafely, and the National PTA

A Parents’ Guide to Student Data Privacy

“A Parent’s Guide to Student Data Privacy Rights”, developed and published by the Future of Privacy Forum in partnership with the National PTA and ConnectSafely.org, is a valuable tool for parents seeking answers and guidance related to major federal laws on education privacy, such as the Family Educational Rights and Privacy Act (FERPA) and the […]

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Student Data and De-Identification: Understanding De-Identification of Education Records and Related Requirements of FERPA

April 6, 2017 | Future of Privacy Forum

Student Data and De-Identification: Understanding De-Identification of Education Records and Related Requirements of FERPA

This paper provides an overview of the different tools used to de-identify data to various degrees, based on the type of information involved, and the determined risk of unintended disclosure of individual identity. Proper data de-identification requires technical knowledge and expertise as well as knowledge of, and adherence to, industry best practice.

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