EduAgent: Generative Student Agents in Learning

arXiv:2404.07963v1 Announce Type: cross
Abstract: Student simulation in online education is important to address dynamic learning behaviors of students with diverse backgrounds. Existing simulation models based on deep learning usually need massive training data, lacking prior knowledge in educational contexts. Large language models (LLMs) may contain such prior knowledge since they are pre-trained from a large corpus. However, because student behaviors are dynamic and multifaceted with individual differences, directly prompting LLMs is not robust nor accurate enough to capture fine-grained …

abstract agents arxiv cs.ai cs.cl cs.cy cs.hc cs.lg data deep learning diverse dynamic education educational generative knowledge language language models large language large language models llms massive online education prior simulation students training training data type