Visual Literacy

The infographic is titled “Creative Data Literacy: Bridging the ‘Big Data Divide’ through Design,” with a subtitle reading “A Step-by-Step Guide for Educators to Teach Effective Information Visualization.” At the upper right is a blue callout box labeled “Key Takeaway,” which states that educators should focus on constructionist “making” before complex visualization software to empower all learners.

The content is organized into three large numbered phases running horizontally across the page. Phase 1, on the left, is labeled “Understand the Big Data Divide.” Below the heading, an illustration of flowing binary code and gears represents complex data streaming from a dark blue landscape into a large right-pointing arrow. A text box labeled “Technical Complexity” explains that data literacy is often used to justify technical barriers, creating a big data divide for educators and learners.

Phase 2, in the center, is labeled “Apply the Three Pillars of Constructionist Learning.” A circular illustration with people and buildings symbolizes community-centered learning. Surrounding this are four rectangular text blocks, each paired with small illustrations. “Hands-On ‘Objects to Think With’” emphasizes externalizing abstract concepts through sketching, paper prototyping, and “data sculptures” using craft materials. “Project-Based” focuses on inquiry-driven tasks connected to learners’ lived experiences and community interests. “Peer-to-Peer Expertise” highlights collaborative, just-in-time teaching where students share tools and knowledge as class experts. “AI as a ‘Thought Partner’” describes modern visual literacy as including documentation of AI prompts to facilitate collaborative creation between humans and machines, shown with a stylized brain connected to a hand holding a device.

Phase 3, on the right, is labeled “Design the Narrative Pipeline.” A folded paper booklet icon, labeled “The Narrative Storybook,” represents learners mapping out the plot points of their data story before using software. To the right is a large illustration of a computer screen and smartphone, labeled “UI/UX Wireframing & Prototyping,” explaining that data is translated into functional interface designs that prioritize user experience and effective visual communication. Beneath these, a horizontal panel titled “Visualization Goals & User Interaction” is divided into two boxes. The left box, “Exploratory,” shows a scatterplot and states that the primary goal is discovery, with users manipulating data to find their own story. The right box, “Explanatory,” shows a line chart and storyboard panels, stating that the primary goal is persuasion, where users tell a specific story through narrative structure and mapping.

Across the infographic, text is presented in short paragraphs with clear headings, and illustrations use bright colors and clean lines against a light background to visually guide readers through the three phases of the framework. At the bottom, a dark blue footer cites the source as adapted from D’Ignazio and Bhargava’s 2018 article on creative data literacy in Digital Humanities Quarterly, with a DOI and article information.

D’Ignazio, C., & Bhargava, R. (2018). Creative data literacy: A constructionist approach to teaching information visualization. Digital Humanities Quarterly, 12(4), Article 000403. https://doi.org/10.63744/fcx6v7pngj22