Yang will be presenting a paper “Toward Semi-Automatic Misconception Discovery Using Code Embeddings” this year at LAK. The paper uses deep learning methods to extract embedding vectors from student code submissions in an introductory programming class in a US university, and use these embeddings to detect possible misconceptions by clustering them in the vector space. The results suggest that code embeddings can be used to find misconceptions that cannot be detected by normal methods such as tree edit distances.