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Enhancing Automated Scoring of Math Self-Explanation Quality using LLM-Generated Datasets: A Semi-Supervised Approach

2023-08-31

Abstract excerpt

In the realm of mathematics education, self-explanation stands as a crucial learning mechanism, allowing learners to articulate their comprehension of intricate mathematical concepts and strategies. As digital learning platforms grow in prominence, there are mounting opportunities to collect and utilize mathematical self-explanations. However, these opportunities are met with challenges in automated evaluation. Au...

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Literature Corpus work
4f34c117-a044-5692-ab52-9da5de1abfa6
DOI
10.20944/preprints202308.2098.v1
Open publication

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Enhancing Automated Scoring of Math Self-Explanation Quality using LLM-Generated Datasets: A Semi-Supervised ApproachDOI 10.20944/preprints202308.2098.v1
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