Paper on Detecting Chart Manipulations Accepted at AIED 2025

We are pleased to announce that the article co-authored by Prof. Dr. Hab. Adam Wierzbicki and M.Sc. Eng. Konrad Maciborski from the Polish-Japanese Academy of Information Technology has been accepted for the AIED 2025 (Artificial Intelligence in Education) conference.

This conference is CORE-rated A and brings together distinguished researchers from around the world. This year, it received a record number of 800 applications (acceptance rate: 19%).

The upcoming 26th edition will see scientists celebrate a quarter-century of progress in the science and engineering of intelligent ecosystems of technologies that support learning. The conference will be the latest in a long-running series of international conferences known for high-quality and innovative research on AI-supported systems and cognitive science approaches to computer applications for education.

The conference will have six thematic tracks. Our paper has been selected for the Learning, Teaching, and Pedagogy track because it reports on a randomized controlled experiment (N=234) that evaluates the ability of Deceptive Chart Detector, an AI-based Chrome extension, to teach both university and primary school students. Deceptive Chart Detector uses neural networks to detect five types of chart manipulation.

Pre-intervention results showed a high susceptibility to misleading graphs in both children and adults. After the intervention, all groups improved their performance, and AI-assisted lessons were as effective as, if not more effective than, traditional methods. These results underscore the potential of AI-assisted education to reduce susceptibility to misleading graphs and thus improve data literacy.

The article that was accepted for the conference:

“Boosting Data Literacy: The Role of AI in Teaching Detection of Deceptive Charts”

K. Maciborski, K. Wysocka, K. Żelazowska-Byczkowska, S. Kleanthous and A. Wierzbicki

This research was carried out as part of the EUonAIR project, establishing a Centre of Excellence in Responsible Artificial Intelligence in Education, co-funded by the European Commission.