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TMOSS: Using Intermediate Assignment Work to Understand Excessive Collaboration in Large Classes., , , и . SIGCSE, стр. 110-115. ACM, (2018)The Stanford Acuity Test: A Probabilistic Approach for Precise Visual Acuity Testing., , , , и . CoRR, (2019)Generative Grading: Neural Approximate Parsing for Automated Student Feedback., , , , , , и . CoRR, (2019)Human Languages in Source Code: Auto-Translation for Localized Instruction., и . L@S, стр. 167-174. ACM, (2020)GPTeach: Interactive TA Training with GPT-based Students., , , и . L@S, стр. 226-236. ACM, (2023)Assessing Function Names and Quantifying the Relationship Between Identifiers and Their Functionality to Improve Them., , и . L@S, стр. 291-294. ACM, (2021)Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference., , , и . AAAI, стр. 782-790. AAAI Press, (2019)Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner Proficiency., , , и . EDM, International Educational Data Mining Society, (2023)Learners Teaching Novices: An Uplifting Alternative Assessment., , и . CoRR, (2024)Tuned Models of Peer Assessment in MOOCs., , , , , и . EDM, стр. 153-160. International Educational Data Mining Society, (2013)