The Future of Education

Edition 16

Accepted Abstracts

From Abstraction to Story: AI Generated Comics for Teaching Probability

Ana Suárez Álvarez, University of Oviedo (Spain)

Claudia Suárez-Arbesú, University of Oviedo (Spain)

María Vicente, University of Oviedo (Spain)

Abstract

Teaching statistics in Economics and Business degrees remains demanding because many of its core ideas are highly abstract. In intermediate courses, where students encounter more advanced probabilistic models, difficulties often emerge in the form of cognitive overload, stress and a growing distance from the subject. Several studies suggest that comics and visual storytelling can ease this tension by creating a learning environment where complex ideas become more approachable and discussion emerges more naturally (van Wyk, 2011).

Comics offer a distinctive pedagogical value: they can translate theoretical frameworks into visual episodes that resemble everyday reasoning. Elements such as humour, exaggeration or mundane situations guide students to connect the illustrated scene with the probability model being taught, encouraging deeper processing and more meaningful interaction with the content (Eapen et al., 2026). This proves particularly useful when introducing continuous probability models like the uniform distribution, where an intuitive understanding of uncertainty often precedes the ability to interpret formulas confidently.

In this project, the visual materials are generated using artificial intelligence tools capable of producing customised comic panels without the need for professional illustration. This makes it feasible to integrate visual narratives directly into classroom activities and to adapt them to the specific economic contexts being discussed. Recent research indicates that digital comics can support the learning of random‑variable probability, reduce mathematics‑related anxiety and increase student motivation (Bestil & Punla, 2025). Evidence from economics education also shows that comics help correct misconceptions and lead to measurable improvements in learning outcomes. Moreover, scientific storytelling has been shown to work effectively as preparatory material for university‑level lessons (Karimi et al., 2021).

To assess the effectiveness of this proposal, students will complete a perception survey and a visual‑comparison task contrasting narrative‑only and formula‑integrated versions of the same scenarios. The objective is to determine which format promotes a more favourable engagement with probability while minimising the resistance that algebraic notation often generates.

 

 

 

 

 

References

Bestil, R., & Punla, R. (2025). Bringing Math to Life: Enhancing Problem Solving Skills in Probability of Random Variables through Digitized Comics. Psychology and Education: A Multidisciplinary Journal, 41(10), 1207–1228. https://doi.org/10.70838/PEMJ.411010

Eapen, T. T., Pedada, K., & Sinha, A. (2026). Bring Course Concepts to Life with Cartoons A Simple, AI-Assisted Approach to Designing and Using Comics in the Classroom. https://hbsp.harvard.edu/inspiring-minds/bring-course-concepts-to-life-...

Karimi, P., Gavagsaz-Ghoachani, R., & Phattanasak, M. (2021). Investigating the transfer of scientific content with the help of comic stories at a level of higher education. Proceedings - 2021 Research, Invention, and Innovation Congress: Innovation Electricals and Electronics, RI2C 2021, 205–210. https://doi.org/10.1109/RI2C51727.2021.9559778

van Wyk, M. M. (2011). The Use of Cartoons as a Teaching Tool to Enhance Student Learning in Economics Education. Journal of Social Sciences, 26(2), 117–130.

 

 

 

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