Here you can find selected publications connected to PlayData:

Fernandez, C., Freitas, J. A., Blikstein, P., & de Deus Lopes, R. (2025). The design space of visualization tools for data science education: Literature review and framework for future designs. International Journal of Child-Computer Interaction, 43, 100698. https://doi.org/10.1016/j.ijcci.2024.100698

Fernandez, C. (2025). Messing about with data: tools and methods to support learning through data visualization construction [Doctoral dissertation, University of São Paulo]. https://doi.org/10.11606/T.3.2025.tde-21082025-072554

Fernandez, C., Blikstein, P., & de Deus Lopes, R. (2025). A Multi-Method Approach for Exploring Programming Trajectories Through Log Data: Insights from Data Visualization Tasks. Journal of Science Education and Technology, 1-26. https://doi.org/10.1007/s10956-025-10210-7

Fernandez, C., Blikstein, P., & de Deus Lopes, R. (2024, June). Design failures in data visualization programming activities. In Proceedings of the 23rd Annual ACM Interaction Design and Children Conference (pp. 574-586). https://doi.org/10.1145/3628516.3663348

Fernandez, C., de Deus Lopes, R., & Blikstein, P. 2023. Programming Representations: Uncovering the Process of Constructing Data Visualizations in a Block-based Programming Environment. In Proceedings of the 2023 Symposium on Learning, Design and Technology (LDT ‘23). Association for Computing Machinery, New York, NY, USA, 11–20. https://doi.org/10.1145/3594781.3594783

Fernandez, C., Freitas, J. A., Blikstein, P., & de Deus Lopes, R. 2023. PlayData: Expressive data visualization through block-based programming In Proceedings of the 17th International Conference of the Learning Sciences-ICLS 2023. International Society of the Learning Sciences.

Fernandez, C., Freitas, J. A., de Deus Lopes, R., & Blikstein, P. 2022. Using video analysis and learning analytics to understand programming trajectories in data science activities with Scratch. In Proceedings of the 21st Annual ACM Interaction Design and Children Conference (IDC ‘22). Association for Computing Machinery, New York, NY, USA, 253–260. https://doi.org/10.1145/3501712.3529742