SEAs Archive

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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The Legacy of inBloom

May 9, 2017 | Data & Society Research Institute

The Legacy of inBloom

InBloom was an ambitious edtech initiative funded in 2011, launched in 2013, and ended in 2014. This report addresses why the story of inBloom is important. For some, inBloom’s story is one of contradiction: the initiative began with unprecedented scope and resources. And yet, its decline was swift and public. What caused a $100 million initiative […]

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The Importance of Disaggregating Student Data

May 9, 2017 | National Center for Mental Health Promotion and Youth Violence Prevention

The Importance of Disaggregating Student Data

This brief provides an overview of the value of disaggregating data, common areas of data to disaggregate, examples of how disaggregated data has been used, limitations of disaggregating data, particularly data describing students.

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Opportunity for all? Technology and Learning in Lower-Income Families

May 9, 2017 | The Joan Ganz Cooney Center at Sesame Workshop

Opportunity for all? Technology and Learning in Lower-Income Families

This report analyzes the ‘digital divide’ by discussing challenges faced by lower income families with respect to the use of technology in learning, both at home and in the classroom, and discusses rates of device ownership, home internet access, digital literacy amongst both students and parents, and potential solutions.

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