How can you stimulate students and teachers to engage in computational thinking with data? One key is to provide a realistic, relevant, and meaningful context. We’re excited to release two new resources—a short video and a two-page handout—that teachers can use to introduce students to how the music industry is using data and computation.
A typical context for computational thinking with data is sports, but not every student is motivated to play moneyball with baseball stats. Another can be data from school events, like ticket sales from the school’s theater production. School-based data are relevant, but often not particularly interesting to work with. In the context of our National Science Foundation-funded Playful Assessment project, we’ve found the music industry provides a wonderfully realistic, relevant, and meaningful context for middle school students.
How teachers can use the music industry to engage students with data
In our video “A Visit to Chartmetric“, leaders at a real start-up company explain why musical artists and their producers use data dashboards—for example, to plan a tour that promotes the artist in regions where they have followers. The Chartmetrics team also explains what computational thinking with data looks like in the music industry, and why computers are needed to collect, store, analyze, and make inferences from data. The data comes from streaming services, Wikipedia, social media and other places where fans engage with artists.
In a related two-page handout, a leader at Pandora describes how the streaming service uses computational thinking to give artists data that help them grow their fan base. The handout highlights the importance of using computers to visualize data in ways that artists find insightful. It also describes how today’s musical artists use data to decide who to tour with, how they use maps, and what data can tell an artist about how their career is going.
Both the video and the handout can be used by teachers to start a conversation with students about what they know about computational thinking with data. What do the students know about the data that is collected when they stream a song or follow an artist? Can they imagine how artists would reason about data to build their careers? Why are computers used to store, organize, and access data about how people interact with music? What kind of computational processes go into making a useful chart about trends in an artist’s popularity? And what are the privacy and other implications of data becoming such a big part of the music industry today?
The video and handout were produced as part of a larger research project to develop a game that engages students in computational thinking and provides useful formative assessment information to teachers about computational thinking. The game, BeatsEmpire, is not yet released. It positions students as managers of musical artists. In that role, students can use insights from computational thinking with data to grow the fame and fortune of their artists. To get more information about the game, leave a comment with your email address below.
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Based on work supported by the National Science Foundation under grants #1742011 and #1741956. Opinions expressed are those of the authors and do not necessarily reflect the views of NSF. Digital Promise, SRI International, Teachers College, Georgia Tech, and the University of Wisconsin, Madison, are BeatsEmpire partners.
