arXiv：cs.LG· Yilin Jiang, Fei Tan, Xuanyu Yin, Jing Leng, Aimin Zhou·· 4 小时前
HACHIMI-II：从角色扮演到学习者行为建模，实现忠实的模拟学生
HACHIMI-II: From Role-Play to Learner Behavior Modeling for Faithful Student Simulation
AI 导读
HACHIMI-II 将学生模拟从角色扮演改为对学习者下一步行为的第三人称预测，通过从学习历史构建学生模型并编译成约束下一步动作的行为框架。在三个题目响应数据集上，模拟与真实学生能力的 Wasserstein-1 距离比最强基线小 2.4–8.4 倍；在两个对话数据集上，复现真实学生错误的知识类型、位置和机制的比例高 1.8–5.1 倍，消融实验显示增益主要来自显式学习者状态。
正文
Abstract:Simulated students let researchers test tutoring systems and teaching strategies before real learners are available, but only if the simulation reproduces where a particular learner succeeds and fails. The common approach asks a large language model to role-play a student, but a role does not model what this learner knows or will do next, so the model's own competence fills the gap. Simulated students perform at a level set by the model, differ little from one another, and seldom make the real learners' errors. We model the learner's behavior and recast student simulation as third-person prediction of the learner's next action. HACHIMI-II builds a student model from the learner's history, infers the learner's state for the current item or tutor turn, and compiles it into a behavior harness that constrains the next action. On three item-response datasets, the Wasserstein-1 distance between simulated and real student ability is 2.4--8.4$\times$ smaller than that of the strongest baseline. On two dialogue datasets, HACHIMI-II reproduces real student errors with the same knowledge type, locus, and mechanism 1.8--5.1$\times$ more often than the strongest baseline, and ablations trace the gains mainly to the explicit learner state. Predicting the learner makes capable models usable as simulated students.
| Comments: | 18 pages, 4 figures |
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Machine Learning (cs.LG) |
| Cite as: | arXiv:2610.19654 [cs.CL] |
| (or arXiv:2610.19654v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.19654 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Yilin Jiang [view email]
[v1]
Wed, 14 Oct 2026 06:24:39 UTC (1,757 KB)
来源：arXiv：cs.LG · arxiv.org