Learning AI Ethics with EvolveMoralMaze: An Analysis of Student Outcomes and Misconceptions

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Authors: Priyanka Kumar, Panhapiseth Lim, Pragathi Durga Rajarajan, Phillip Driscoll
Cited by: 1
References: 4

Abstract

As artificial intelligence (AI) becomes part of everyday life, we need engaging ways to teach young people about its ethical challenges. We designed EvolveMoralMaze, an interactive game to teach middle school students (ages 11-14) about AI ethics, training data, and algorithmic bias. We tested this tool with 117 students at a Texas public middle school. Both qualitative and quantitative data showed a large increase in students' self-reported understanding of AI. More importantly, students developed an in-depth understanding of how training data shapes AI behavior. However, the game inadvertently reinforced the misconception that ''perfect rules'' can solve ethical problems. This research demonstrates that games can be powerful tools for making complex ethical ideas tangible for this age group.

Fields of Study & Subjects

Ethics and Social Impacts of AI Teaching and Learning Programming Explainable Artificial Intelligence (XAI)

Publication details

Journal / source
Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2
Publisher
ACM
Pages
1405–1406
Publication date
13 February 2026