AIBullisharXiv – CS AI · Mar 34/103
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MAML-KT: Addressing Cold Start Problem in Knowledge Tracing for New Students via Few-Shot Model-Agnostic Meta Learning
Researchers introduce MAML-KT, a meta-learning approach that addresses the cold start problem in knowledge tracing systems when predicting performance of new students with limited interaction data. The model uses few-shot learning to rapidly adapt to unseen students, achieving higher early accuracy than existing knowledge tracing models across multiple datasets.