Reflective Data Storytelling for Youth: The CODAP Story Builder

We describe the design of Story Builder, a tool to support adolescents in building interactive multimedia stories that integrate data analysis and visualization with text, images, and other multimodal resources. Story Builder is a plug in for the Common Online Data Analysis Platform (CODAP), a free, online, open-source drag-and-drop interactive data analysis system. Based on early prototyping conducted with several 7th grade classrooms, we sought to design a tool that would allow students to (a) integrate their data investigations with relevant personal and contextual information; (b) record the step-by-step process and rationale of their data analysis; and (c) reflect on and share these contextual and process-oriented elements of data analysis work with others. A major goal of Story Builder is to encourage students to consider and incorporate personal, social, and scientific considerations during data analysis.

[1]  Dani Ben-Zvi.  SCAFFOLDING STUDENTS' INFORMAL INFERENCE AND ARGUMENTATION , 2006 .

[2]  William Finzer,et al.  The data science education dilemma , 2012, Technology in Statistics Education: Virtualities and Realities IASE Roundtables Conference.

[3]  Vasiliki Laina,et al.  Middle school students’ reasoning about data and context through storytelling with repurposed local data , 2018, ZDM.

[4]  Jeffrey Heer,et al.  Narrative Visualization: Telling Stories with Data , 2010, IEEE Transactions on Visualization and Computer Graphics.

[5]  J. Kahn.  Learning at the Intersection of Self and Society: The Family Geobiography as a Context for Data Science Education , 2019, Journal of the Learning Sciences.

[6]  L. Lyons,et al.  Examining Spontaneous Perspective Taking and Fluid Self-to-Data Relationships in Informal Open-Ended Data Exploration , 2019, Journal of the Learning Sciences.

[7]  Dominique Brodbeck,et al.  Research directions in data wrangling: Visualizations and transformations for usable and credible data , 2011, Inf. Vis..

[8]  Eve Manz,et al.  Examining evidence construction as the transformation of the material world into community knowledge , 2016 .

[9]  R. Duschl.  Science Education in Three-Part Harmony: Balancing Conceptual, Epistemic, and Social Learning Goals , 2008 .

[10]  Victor R. Lee,et al.  Data Use by Middle and Secondary Students in the Digital Age: A Status Report and Future Prospects , 2018 .

[11]  Edith Ackermann,et al.  Perspective-Taking and Object Construction: Two Keys to Learning , 2012 .

[12]  Kris D. Gutiérrez,et al.  Social Design Experiments: Toward Equity by Design , 2016, Cultural-Historical Activity Theory Approaches to Design-Based Research.

[13]  Joachim Engel,et al.  Statistical Literacy for Active Citizenship: A Call for Data Science Education. , 2017 .

[14]  Paul Cobb,et al.  Principles of Instructional Design for Supporting the Development of Students’ Statistical Reasoning , 2004 .

[15]  Alexander Pollatsek,et al.  Data Analysis as the Search for Signals in Noisy Processes. , 2002 .

[16]  Mitchel Resnick,et al.  Constructionism in Practice: Designing, Thinking, and Learning in A Digital World , 1996 .

[17]  Richard A. Duschl,et al.  Teaching scientific inquiry : recommendations for research and implementation , 2008 .

[18]  M. Braga,et al.  Exploratory Data Analysis , 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

[19]  J. Polman,et al.  Situating Data Science: Exploring How Relationships to Data Shape Learning , 2019, Journal of the Learning Sciences.