About the tutorial
Supporting educational stakeholders to interpret dashboards and visualizations poses critical design challenges that may often be trivialized. Teachers’ and students’ interpretation of visualized data is essentially the construction of a narrative about the learning process. Applying data storytelling techniques to design these visualizations can support the generation of insights derived from educational data by aligning the intended learning design, goals and outcomes with visual elements.
This tutorial focuses on data storytelling, the ability to convey data not just in numbers or charts, but as a narrative that the audience can comprehend using storytelling foundations (e.g. plots, twists and calls to action). Data storytelling (DS), which builds on classic InfoVis guidelines, is a structured approach for communicating data insights, and it involves a combination of three key elements: data, visuals, and narrative. Narrative helps explain what the data and visualizations are conveying and why particular insights are important. Prior work on LA community has explored how these DS elements play an important role in supporting the understanding of complex learning data and how these elements drive teacher’s attention when aligned to expected outcomes or learning goals. In short, this tutorial brings a practical approach for applying data storytelling principles to address the analytical challenge of visualizing complex and heterogeneous data and facilitating the communication of insights.