We’re so excited to begin a new NSF funded project entitled “Writing Data Stories: Integrating Computational Data Investigations into the Middle School Science Classroom”. The project is a collaboration including Michelle Wilkerson and Kris Gutierrez at UC Berkeley, William Finzer and Natalya St. Clair at the Concord Consortium, Hollylynne Lee at North Carolina State University, Anthony Petrosino at the University of Texas and Austin. Special thanks to Vasiliki Laina and Lisette Lopez at UC Berkeley for their contributions to the proposal and related projects! The abstract is below; learn more here. Continue Reading
Projects
2016 Youth Data Science Summit
On August 11-12, the University of California, Berkeley’s Graduate School of Education and School of Information co-hosted the Youth Data Science Summit. Funded by the NSF Cyberlearning and Future Learning Technologies program, the Summit brought together researchers from different communities already active in this emerging field, to promote cross dialogue between those working in computer science/information visualization and in education. For more information, visit the summit website, join the Youth, Learning, and Data Science mailing list, and check out the event twitter feed. The event website will be updated to include videorecordings of panel and keynote presentations and resources shared at the workshop.
DataSketch: Exploring Computational Data Visualization in the Middle Grades
The DataSketch project explores how middle school students think and learn about data visualization. It involves two interrelated strands of work: (1) research on grade 5-8 students’ existing competencies and practices related to data visualization, and (2) the development and study of a tablet based toolkit for students to create digital ink programmable visualizations that respond to archival or live data stream input.
CodeR4STATS
With Eric Simoneau at the Boston Public Schools, the CodeR4STATS project will develop and study teaching resources for high-school Advanced Placement Statistics teachers to use an open source statistics programming language called “R” in their classrooms. Learn more or try it yourself at the Stats4STEM website.
Data Science Games
Data Science Games is a collaboration with Concord Consortium, eeps media and the University of California at Berkeley to explore data science education at the high school level. Continue Reading
SiMSAM: Bridging Student, Scientific, and Mathematical Models with Expressive Technologies
Simulation, Measurement, and Stop Action Moviemaking (SiMSAM) explores how middle school students reason about physical phenomena using modeling and simulation technologies. Our goal is to build a tool that allows students to move back and forth between formats to create, share and test their own and each others’ scientific models.