• Holbert, Nathan, Betsy DiSalvo, and Matthew Berland. "The Rollout of Computer Science Education to Every Student in New York City: A Socio-Contextual Social Network Analysis." Teachers College Record 122, no. 11, 2020
  • Basu, Satabdi, DiSalvo, Betsy; Wise Rutstein, Daisy; Roschelle, Jeremy; Holbert, Nathan and Youing Xu. The Role of Evidence Centered Design and Participatory Design in a Playful Assessment for Computational Thinking About Data. In Proceedings of the 2020 ACM Conference on Computer Science Education (SIGCSE’20). (Acceptance rate 31%)
  • Basu, S., Rutstein, D., Xu, Y., & Fujii, R. (Accepted, 2020). Using a game-based formative assessment to measure middle school students’ data and analysis skills. Paper to be presented at the annual conference of the American Educational Research Association (AERA), San Francisco, CA.
  • Basu, S., Rutstein, D., Snow, E., & Shear, L. (2018). Evidence-centered design: A principled approach to creating assessments of computational thinking practices. In The State of the Field in Computational Thinking Assessment. Symposium conducted at the 13th annual International Conference of the Learning Sciences (ICLS), London.
  • Holbert, N., Berland, M., DiSalvo, B., Rutstein, D., Roschelle, J., Kumar, V., Basu, S., & Villeroy, M. (2019). Designing constructionist formative assessment games. In game based assessment: How has the field matured over the past 10 years? Poster presented at the annual conference of the Educational Research Association (AERA), Toronto, Canada.
  • Rutstein, D., DiSalvo, B., Basu. S., & Roschelle, J. (2019). Game-based assessment of data and analysis for middle school students. Paper presented at the annual conference of the American Educational Research Association (AERA), Toronto, Canada.
  • Pellicone, Anthony J., Holbert, Nathan R., DiSalvo, Betsy, Berland, Matthew, Kumar, Vishesh, and Yilang Zhao. “Who Played the Game Correctly? Data Signatures of Interaction in Playful Assessment.” In Proceedings of 2019 Connected Learning Summit, Irvine. 


Beats Empire

Beats Empire was developed to provide a playful assessment of students learning gains in data literacy. As part of the learning goals for the NYC CS4All program, computational data literacy content is being integrated into math, science, health, and other classes in middle schools. However, the teachers, who are not experts in computer science, need assistance with teaching. Beats Empire allows them to gauge student learning outcomes, with a fun activity. 

This project will address research questions related to formative assessment of student data science learning that will provide useful feedback to teachers, is engaging for students, and can be used across disciplines and curricula that are integrating CS content. 

This project is funded by the NSF STEM+C program and is a collaboration between Matthew Berland (U.W.–Madison), Nathan Holbert (Teachers College), Jeremy Roschelle (Digital Promise), Daisy Rutstein (SRI),  Betsy DiSalvo (Georgia Tech), and Filament Games.