Use GenAI-co-created data comics to communicate data insights to novice students, with human oversight to address misinformation and bias risks¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The article recommends exploring data comics, co-created with GenAI, as a scalable way to communicate data insights in education, since GenAI addresses the production bottleneck that has limited systematic evaluation. The authors conclude their findings "highlight the potential of data comics as a potentially effective tool for data communication in education", while stressing that ethical concerns about AI-assisted creation must be addressed before deployment in authentic settings.

Design Implications¶

Context¶

Requirements¶

• Human oversight of GenAI-generated content for credibility and validity
• Carefully designed prompts and diverse, well-curated datasets to reduce bias
• Transparency about the role AI plays in imagery production

Constraints¶

• Students raised concerns about misinformation, bias, ownership and reduced trustworthiness
• Comics may overload readers and suit complex multi-dimensional comparisons less well than conventional visualisations

Target Learners¶

• novice university students
• students with limited visualisation literacy

Target Learning Goals¶

• information retrieval from data visualisations
• comprehension of data insights

Related Strategies¶

• Use explainability tools (SHAP/LIME) and human monitoring for fair, transparent AI-driven personalized learning

Examples¶

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Key Sources¶

• Zirui Shan, Vanessa Echeverria, Yuheng Li, Yi-Shan Tsai, and Roberto Martinez-Maldonado. (2026). Data Comics for Education: Evaluating Effectiveness, Benefits, and the Ethics of AI-Assisted Creation. https://arxiv.org/abs/2607.02361