nanote/algebra_misconceptions
MaE: Math Misconceptions and Errors Dataset This dataset supports the research described in the paper A Benchmark for Math Misconceptions: Bridging Gaps in Middle School Algebra with AI-Supported Instruction by Nancy Otero, Stefania Druga, and Andrew Lan. Overview The MaE (Math Misconceptions and Errors) dataset is a collection of 220 diagnostic examples designed by math learning researchers that represent 55 common algebra misconceptions among middle school… See the full description on the dataset page: https://huggingface.co/datasets/nanote/algebra_misconceptions.
This repository belongs to nanote on Hugging Face.
CoolFace never edits a repository it does not host. Visibility, licence, collaborators and gating are all managed at the source.
