BEAGLE uses a semi-Markov model, Bayesian knowledge tracing with injected flaws, and decoupled strategy-code actions to make LLM agents produce authentic student learning trajectories that humans cannot distinguish from real data at better than chance level.
Using large language models to simulate multiple humans and replicate human subject studies
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BEAGLE: Behavior-Enforced Agent for Grounded Learner Emulation
BEAGLE uses a semi-Markov model, Bayesian knowledge tracing with injected flaws, and decoupled strategy-code actions to make LLM agents produce authentic student learning trajectories that humans cannot distinguish from real data at better than chance level.