Education Projects

The following projects illustrate collaborative educational projects that aim to develop or study new resources, curricula, training programs, and workshops to support learning and teaching in a variety of settings including schools, informal learning settings like museums, and the workplace.

DataWorks

  • DataWorks is a unique workplace training program and data services provider. It provides businesses, non-profits, and civic organizations with data cleaning, analysis, and annotation services and trains young people from communities historically minoritized in computing.

  • Annabel Rothschild, Amanda Meng, Carl DiSalvo, Britney Johnson, Ben Rydal Shapiro, and Betsy DiSalvo. 2022. Interrogating Data Work as a Community of Practice. Proceedings of the ACM on Human-Computer Interaction 6, Article 307 (November 2022) (2022), 29. PDF

    Shapiro, B.R., Meng, A., Rothschild, A., Gilliam, S., Garrett, C., DiSalvo, C., & DiSalvo, B. (2022). “Bettering Data”: The Role of Everyday Language and Visualization in Critical Novice Data Work. Journal of Education, Technology & Society, 25(4), 109-125. PDF

    Britney Johnson, Ben Rydal Shapiro, Betsy DiSalvo, Annabel Rothschild, and Carl DiSalvo. 2021. Exploring Approaches to Data Literacy Through a Critical Race Theory Perspective. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ’21), May 08–13, 2021, Yokohama, Japan. ACM, New York, NY, USA, 25 pages. PDF

    Rothschild, A., Booker, J., Davoll, C. Hill, J., Ivey, V., DiSalvo, C., Shapiro, B.R., and DiSalvo, B. (2022). Towards fair and pro-social employment of digital pieceworkers for sourcing machine learning training data. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI EA '22). Association for Computing Machinery, New York, NY, USA, Article 2, 1–9. PDF

Mapping Self in Society

  • Mapping Self in Society or MaSelfS is a framework for teaching and studying personal geography and critical spatial inquiry. Teachers and researchers working in different disciplines such as social studies or computer science can use this framework to engage learners in activities where they learn how to use open source tools to collect and dynamically visualize their physical movement data over thematic maps to explore relations between people and the social and cultural life of neighborhoods and communities.

  • Shapiro, B.R., Meng, A., O’Donnell, C., Lou, C., Zhao, E., Dankwa., B., Hostetler, A. (2020). Re-Shape: A Method to Teach Data Ethics for Data Science Education. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). ACM, Honolulu, HI, USA, Paper 124. PDF

Learning How to Look & Listen

  • This website brings together resources from a conference supported by the Spencer Foundation at Arizona State University where an interdisciplinary group of older and younger scholars gathered to document and illustrate the basic patterns of visual and auditory attention that are employed by researchers who use video to study social interaction.

Learning Spaces Visualization Workshop

  • This is a repository of code examples and instructions for an introductory workshop about data visualization for learning spaces. This workshop also introduces participants to data visualization with the Processing Programming Language and Unfolding Maps Library. This workshop was developed in collaboration with the EdLab at Teachers College, Columbia University.