Case Studies as a Pedagogical Approach in Responsible Data Literacy

Given the increased usage of data-driven systems, being data literate calls for a combined understanding of computational foundations and the critical considerations associated with the contextual implications of deploying such systems. Drawing inspiration from Freirean principles aligned with situational awareness theory, this article highlights how case studies can be developed and used as pedagogical tools for the multidimensional competencies (intertwining critical and computational thinking) needed for the future data worker to responsibly engage with the different facets of data analysis and usage, including data acquisition, data exploration, computational modeling and data storytelling. Essential facets of case studies involving narrative formation, mechanisms for arousing critical thought and student engagement strategies are discussed in conjunction with the combined theoretical frame. The article concludes with considerations to boost educator preparedness and instructional design by envisioning resources and enabling the creation of communities of practice around using case studies in data literacy.