Student_100 dataset for student simulation¶
Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 1 study (1 design),q2· 0 of 1 report an effect size · 2 claims rest on one study
Description¶
A dataset created by Tao Wu et al. from the PTA online programming platform containing sequential, annotated Python task-solving records from 100 students for evaluating student simulation.
Components¶
Claims¶
- Simulating higher-cognitive-ability students is easier: simulation quality correlates positively with student cognitive score [+W]
- Behavior-prediction accuracy rises with more past learning records, reaching 0.94 at 40 records [+W]
Related Products and Programmes¶
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Key Sources¶
- Tao Wu, Jingyuan Chen, Wang Lin, Mengze Li, Yumeng Zhu, Ang Li, Kun Kuang, Fei Wu. (2025). Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents. https://arxiv.org/abs/2505.19997
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
student-100-dataset-for-student-simulation |
title |
Student_100 dataset for student simulation |
description |
A dataset created by Tao Wu et al. |
status |
review |
product_kind |
dataset |
generated |
by process:settle-candidates on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
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