The ability to interpret complex data visualizations is a crucial skill that appeals to professional and personal environments. Currently, the ability to understand visualizations on a mobile device is one that is hyper-critical yet underexplored. This project addresses the gap in accessible data visualization literacy (DVL) education by developing a mobile application that enables flexible learning through engaging, brief lessons on both common visualization types and complex, emerging charts used in academia. Unlike existing platforms, which are web-based and require extended periods of engagement, our app introduces a modern, interactive approach that integrates seamlessly into daily life, making learning both effective and convenient. This platform uses interactive modules, gamification, and immediate feedback to teach users to critically understand and evaluate visual data, building off of the teaching strategies of platforms like Khan Academy and Duolingo. The app’s design is optimized for mobile use, with clear, legible visualizations tailored for small screens and intuitive navigation facilitated by icon-based menus. Through our app, users engage with varied data visualizations, answer related questions, and receive instant feedback, which aids in building their data visualization literacy. This report outlines the design, development, and potential future enhancements of the app, including an expanded content library and features for personalized learning. It emphasizes the application’s role in empowering users to navigate the increasingly data-rich world more effectively, thereby contributing to a well-informed society. The development process, led by a cross-functional student team, highlights collaborative efforts in software engineering, user interface design, and educational content creation, marking a significant step toward making DVL more accessible and impactful.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• McAlarney, Matthew
• Foley, Luke
• Dobbelaar, Joseph
• Germain, Ryker

Subject

• Industry
• Inclusion
• Computing
• Well-Being
• Learning

Publisher

• Worcester Polytechnic Institute

Identifier

• 121831
• E-project-042524-172510

Parola chiave

• Data Visualization Learning
• App Development
• VLAT

Advisor

• Harrison, Lane T.

Year

• 2024

Sponsor

• Lane Harrison

UN Sustainable Development Goals

• 4 - Quality Education

Date created

• 2024-04-25

Resource type

• Major Qualifying Project

Major

• Data Science
• Computer Science

Source

• E-project-042524-172510

Rights statement

• In Copyright