Personal Data Physicalization in Focus: A Classroom Experience

• Isabel Harb Manssour PUCRS
• Milene Selbach Silveira PUCRS

DOI: https://doi.org/10.5753/wei.2024.2906

Abstract

We have transitioned from knowledge-based to competency-based learning in computing education in the last decades. When teaching computing subjects, we must design activities that instill dispositions (the “know-why”) such as adaptability, collaboration, inventiveness, and many others. The use of active methodologies stands out in this scenario. In this work, we present a classroom experience in a Data Visualization course using the concept of data physicalization. We observed the students’ engagement and the possibilities of promoting different dispositions, in addition to the content assimilation per se. We believe our lessons learned can help develop similar activities in data visualization education.

References

Corbin, J. and Straus, A. (2008). Basics of Qualitative research: techniques and procedures for developing grounded theory. Sage Publications.

Daneshzand, F., Perin, C., and Carpendale, S. (2022). Kiriphys: Exploring new data physicalization opportunities. IEEE Transactions on Visualization and Computer Graphics, 29(1):225–235.

Huang, D., Tory, M., Aseniero, B. A., Bartram, L., Bateman, S., Carpendale, S., Tang, A., and Woodbury, R. (2014). Personal visualization and personal visual analytics. IEEE Transactions on Visualization and Computer Graphics, 21(3):420–433.

Jansen, Y., Dragicevic, P., Isenberg, P., Alexander, J., Karnik, A., Kildal, J., Subramanian, S., and Hornbæk, K. (2015). Opportunities and challenges for data physicalization. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pages 3227–3236.

Karyda, M., Wilde, D., and Kjærsgaard, M. G. (2020). Narrative physicalization: Supporting interactive engagement with personal data. IEEE Computer Graphics and Applications, 41(1):74–86.

Knudsen, S., Bennetsen, M. B., Høj, T. K., Jensen, C., Jørgensen, R. L. N., and Loft, C. S. (2023). Reflections on designing and running visualization design and programming activities in courses with many students. In 2023 IEEE VIS Workshop on Visualization Education, Literacy, and Activities (EduVis), pages 55–64.

Panagiotidou, G., Görücü, S., and Moere, A. V. (2020). Data badges: Making an academic profile through a diy wearable physicalization. IEEE Computer Graphics and Applications, 40(6):51–60.

Perin, C. (2021). What students learn with personal data physicalization. IEEE Computer Graphics and Applications, 41(6):48–58.

Ribeiro, M. I. C. and Passos, O. M. (2020). A study on the active methodologies applied to teaching and learning process in the computing area. IEEE Access, 8:219083–219097.

Sauvé, K., Brombacher, H., Van Koningsbruggen, R., Veldhuis, A., Houben, S., and Alexander, J. (2023). Physicalization from theory to practice: Exploring physicalization design across domains. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, pages 1–7.

Silveira, M. S. (2020). Exploring creativity and learning through the construction of (non-digital) board games in hci courses. In Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, pages 246–251.

Task Force, C. (2020). Computing Curricula 2020 (CC2020): Paradigms for Global Computing Education. ACM, IEEE.

Vladis, N., Hopkins, A., and Satyanarayan, A. (2020). Data Crafting: Exploring Data through Craft and Play. In IEEE VIS Workshop on Data Vis Activities to Facilitate Learning, Reflecting, Discussing, and Designing, pages 1–7.