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CogMath-948

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Evidence · 1 claim (1 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

CogMath-948 is a dataset constructed by Wei Zhang et al. containing six months of eighth-grade mathematics interactions from 1,245 students, annotated with responses, reflective reasoning, ICAP-based engagement labels, and misconception categories.

Components

  • CogMath-948 dataset of eighth-grade math interactions with cognitive state annotations: CogMath-948 is a dataset the authors constructed from real educational scenarios because suitable open datasets were lacking for fine-grained cognitive evolution research. It "covers real learning data from 1,245 eighth-grade students over six months", with four dimensions per interaction: question and response information, reflective explanations of reasoning or error causes, ICAP-based cognitive engagement labels, and fine-grained misconception classifications for incorrect answers. It serves as the evaluation corpus for all CogEvolution comparisons and ablations. (Wei Zhang et al. (2026))

Claims

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Key Sources

  • Wei Zhang, Yihang Cheng, Zhirong Ye & Kezhen Huang. (2026). CogEvolution: A Human-like Generative Educational Agent to Simulate Student's Cognitive Evolution. https://arxiv.org/abs/2604.14786v1
Page metadata
Field Value
type product
id cogmath-948
title CogMath-948
description CogMath-948 is a dataset constructed by Wei Zhang et al.
status review
product_kind dataset
generated by process:settle-candidates on 2026-10-10
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