Integrating LSTM and BERT for Long-Sequence Data Analysis in Intelligent Tutoring Systems

arXiv:2405.05136v1 Announce Type: cross
Abstract: The field of Knowledge Tracing 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 Knowledge Tracing models that use data from Intelligent Tutoring Systems to predict students' subsequent actions. However, with the development of Intelligent Tutoring Systems, large-scale datasets containing long-sequence data began to emerge. Recent deep learning based Knowledge Tracing models face obstacles such as low efficiency, low …

abstract analysis arxiv bert cs.ai cs.cl cs.cy cs.lg data data analysis intelligent knowledge learn lstm master researchers students systems tracing tutoring type