U-GLAD models learner uncertainty with Gaussian LSTMs and uses cognition-adaptive diffusion to generate goal-aligned learning path recommendations that outperform baselines on public datasets.
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Uncertainty-aware Generative Learning Path Recommendation with Cognition-Adaptive Diffusion
U-GLAD models learner uncertainty with Gaussian LSTMs and uses cognition-adaptive diffusion to generate goal-aligned learning path recommendations that outperform baselines on public datasets.