EE-Eval is an automated evaluation framework that represents interactivity in AI-generated explorable explanations as finite state machines, compares extracted FSMs to ideal pedagogical FSMs using graph and embedding metrics, and shows stronger alignment with human judgments than baselines across 12
Maple: A mobile assistant with persistent finite state machines for recovery reasoning, 2025
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Evaluating Interactivity: Toward Automated Assessment of AI-Generated Explorable Explanations
EE-Eval is an automated evaluation framework that represents interactivity in AI-generated explorable explanations as finite state machines, compares extracted FSMs to ideal pedagogical FSMs using graph and embedding metrics, and shows stronger alignment with human judgments than baselines across 12