Other Resources for Big Data

Mitigating Data System Perceptions: Good and Bad (2015 Best Practices Conference)

April 30, 2019 | SLDS Grant Program

Mitigating Data System Perceptions: Good and Bad (2015 Best Practices Conference)

PowerPoint and worksheet from the 2015 Best Practices Conference workshop “Mitigating Data System Perceptions: Good and Bad.” Materials help identify perceptions that are barriers and aids to maximizing data system value; explore strategies that can mitigate barriers; and outline a plan for next steps.

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Teaching Impacts of Technology: Data Collection, Use, and Privacy

April 19, 2019 | UC San Diego

Teaching Impacts of Technology: Data Collection, Use, and Privacy

In this course you’ll focus on how constant data collection and big data analysis have impacted us, exploring the interplay between using your data and protecting it, as well as thinking about what it could do for you in the future. This will be done through a series of paired teaching sections, exploring a specific […]

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Cyber-Security in Today’s K-12 Environment

April 7, 2019 | Council of the Great City Schools

Cyber-Security in Today’s K-12 Environment

This resource, produced by Member Districts of the Council of the Great City Schools, is intended to guide school administrators and educators to design a comprehensive security program with student privacy in mind.

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More Than a Number: Tools for Talking about Education Data

April 5, 2019 | Data Quality Campaign

More Than a Number: Tools for Talking about Education Data

This resource is designed for state and local leaders and advocates to help them plan and act on communications about the value of data and its collection, use, and protection in their state. Also, it can teach them about why data is valuable to student learning. The toolkit emphasizes three core components of any strategy […]

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An Introduction to Data Ethics

April 5, 2019 | Markkula Center for Applied Ethics

An Introduction to Data Ethics

This introductory ethics module for data science courses includes a reading, homework assignments, and case studies, all designed to spark a conversation about ethical issues that students will face in their role as data practitioners. No training in ethical theory, applied ethics, or philosophy is required for either the instructor or the students as they […]

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The Structural Consequences of Big Data-Driven Education

July 13, 2017 | Elana Zeide

The Structural Consequences of Big Data-Driven Education

Educators and commenters who evaluate big data-driven learning environments focus on specific questions: whether automated education platforms improve learning outcomes, invade student privacy, and promote equality. This article puts aside separate unresolved—and perhaps unresolvable—issues regarding the concrete effects of specific technologies. It instead examines how big data-driven tools alter the structure of schools’ pedagogical decision-making, […]

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