LBKT: A LSTM BERT-Based Knowledge Tracing Model for Long-Sequence Data
Zhaoxing Li,
Jujie Yang,
Jindi Wang
et al.
Abstract:The field of Knowledge Tracing (KT) aims to understand how students learn and master knowledge over time by analyzing their historical behaviour data. To achieve this goal, many researchers have proposed KT models that use data from Intelligent Tutoring Systems (ITS) to predict students' subsequent actions. However, with the development of ITS, large-scale datasets containing long-sequence data began to emerge. Recent deep learning based KT models face obstacles such as low efficiency, low accuracy, and low in… Show more
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