MAML-KT applies model-agnostic meta-learning to knowledge tracing so models initialize for rapid adaptation, yielding higher early accuracy than standard KT models on ASSIST datasets under controlled cold-start conditions.
In: Proceedings of the EDM Workshops (2018)
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MAML-KT: Addressing Cold Start Problem in Knowledge Tracing for New Students via Few-Shot Model-Agnostic Meta Learning
MAML-KT applies model-agnostic meta-learning to knowledge tracing so models initialize for rapid adaptation, yielding higher early accuracy than standard KT models on ASSIST datasets under controlled cold-start conditions.