VisualRight: A Web-Native Interactive Playground to Democratize AI Literacy through Visualization and Simulation
Conference proceedings article
Authors/Editors
Strategic Research Themes
Publication Details
Author list: Punnapa Thianchai, Awirut Phusaensaart, Jittapat Chanyarungroj, Pirun Dilokpatpongsa, Warin Wattanapornprom, Wittawin Susutti
Publication year: 2025
Start page: 204
End page: 225
Number of pages: 22
URL: https://www.elfasia.org/2025/
Languages: English-United States (EN-US)
Abstract
Artificial Intelligence (AI) is becoming foundational to education and workforce development,
yet its core principles often remain inaccessible to learners without programming experience.
This paper introduces VisualRight, a modular, web-native platform designed to democratize
AI literacy through interactive visualizations, hands-on simulations, and real-time formative
assessments. The platform covers foundational AI topics—including algorithmic thinking,
image processing, and reinforcement learning—through a serverless, mobile-compatible
architecture that complies with WCAG 2.1 accessibility standards. A mixed-methods
evaluation involving 53 high school and undergraduate participants assessed usability,
engagement, and perceived learning outcomes. Quantitative metrics from analytics tools and
qualitative feedback from user surveys indicate high usability, strong learner engagement, and
improvements in conceptual understanding. VisualRight’s integration of adaptive feedback,
visual simulation, and open-access design offers a scalable and inclusive approach to
foundational AI education. These findings highlight the platform’s potential to support
equitable access to computational thinking and prepare diverse learners for participation in the
digital economy.
Keywords
Artificial Intelligence (ปัญญาประดิษฐ์), data structures, Interactive online learning, web-based education






