SEAs Archive

CoSN Trusted Learning Environment (TLE) Seal

May 10, 2017 | Consortium for School Networking

CoSN Trusted Learning Environment (TLE) Seal

Developed through the collaborative insight and work of national educational leadership organizations and school systems nationwide, the Trusted Learning Environment (TLE) Seal embodies the commitment of school leadership to safeguard the digital privacy of student data. The TLE Seal is a program addressing school system student data privacy and security. It provides school system leaders with […]

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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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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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Student Data Privacy: An Overview

May 9, 2017 | Data & Society Research Institute

Student Data Privacy: An Overview

Student data privacy conversations center on concerns regarding the safeguarding of data collected in educational settings. These concerns oftentimes revolve around a fear of student information being sold to third parties for targeted advertising purposes. Other concerns include the hyper surveillance of vulnerable groups of students, schools selling students’ personal details to marketing companies, and […]

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Personalized Learning: The Conversations We’re Not Having

May 9, 2017 | Data & Society Research Institute

Personalized Learning: The Conversations We’re Not Having

Key questions explored in this primer include: what, exactly the rhetoric surrounding personalized learning is promising, and why? Can an analysis show whether this technology is delivering what it promises? And what other concerns, absent from the discourse, do we need to be most attendant to when the educational sphere imports a framework of data […]

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