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Testing the Validity of Embedding-Based Similarity and Clustering for Handwritten Physics Solutions
Text embeddings are increasingly used in physics education research to organize, compare, and cluster large collections of written text. Their appeal is clear: once student responses have been mapped into a vector space, similarity comparisons and clustering become computationally inexpensive. Howev
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