Behavior-prediction accuracy rises with more past learning records, reaching 0.94 at 40 records¶
Claim · All claims
Evidence · 1 study · designr2·q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person · recheck by 2028: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Increasing past learning records from 10 to 40 consistently improves behavior prediction and solution simulation, with accuracy reaching 0.94 at 40 records. → Tao Wu 2025
Evidence¶
Tao Wu 2025¶
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 doi:10.48550/arxiv.2505.19997
q2 · i? · design · r2
Analysis of past learning record volumes shown in Figure 4(a), a plotted numerical pattern rather than an analytic derivation. The article attributes the trend to a more comprehensive cognitive prototype; 0.94 is an accuracy, not an effect size.
"As shown in Figure 4 (a), increasing the number of past learning records from 10 to 40 leads to con- sistent improvements in both behavior prediction and solution simulation. Specifically, the behav- ior prediction accuracy reaches 0.94 at 40 records, marking a substantial improvement."
Discussion¶
Related Claims¶
- Beam search-based self-refinement improves simulated solution alignment with predicted student behavior — related
- Knowledge-graph prototype mapping outperforms existing behavior-prediction baselines for student simulation — related
- Sycophantic failure manifests as indiscriminate correct flips rather than explicit sycophantic agreement, and SFT shifts behavior toward pushback and maintain under non-targeted feedback — related
- High self-consistency between a simulator's reasoning and its own generated code does not imply alignment with real student reasoning or behavior — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
more-past-records-improve-simulation-accuracy |
title |
Behavior-prediction accuracy rises with more past learning records, reaching 0.94 at 40 records |
description |
Behavior-prediction accuracy rises with more past learning records, reaching 0.94 at 40 records |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
recheck_by |
2028 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — tao-wu-2025 |
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