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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.

sourceHugging Facemitupdated 2y agoView on Hugging Face
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