A framework using latent class analysis on student data to define personas, LLM simulations of their responses, and ridge regression improves IRT difficulty prediction for MCQs over baselines.
The Journal of the Learning Sciences 13(2), 129–164 (2004)
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MCQ Difficulty Prediction via Modeling Learner Heterogeneity Using Data-Driven Cognitive Profiling
A framework using latent class analysis on student data to define personas, LLM simulations of their responses, and ridge regression improves IRT difficulty prediction for MCQs over baselines.