Multimodal Analogy Generation in Programming Education
Yuri Noviello (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Anastasiia Birillo (JetBrains Research, TU Delft - Electrical Engineering, Mathematics and Computer Science)
Gosia Migut (TU Delft - Electrical Engineering, Mathematics and Computer Science)
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Abstract
Engaging students with effective learning materials continues to be a significant challenge in programming education. Analogies are commonly used to simplify complex topics, enabling learners to relate unfamiliar concepts to familiar ones. Additionally, visual representations of these analogies can enhance engagement and improve the overall learning experience. This work presents a prototype of a novel AI tool that generates analogy-based explanations and corresponding video animations for programming education. The tool leverages Large Language Models (LLMs) for analogy generation and a structured animation workflow for visualization. This poster invites discussion on the effectiveness of AI-generated educational content and its implications for programming education.
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