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Automatically Generating CS Learning Materials with Large Language Models., , , , , , , and . CoRR, (2022)Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models., , , , , , , , and . CoRR, (2023)Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting Skills., , , , , and . CoRR, (2024)Computing Education in the Era of Generative AI., , , , , , , , , and . CoRR, (2023)Time-on-Task Metrics for Predicting Performance., , and . SIGCSE (1), page 871-877. ACM, (2022)Methodological Considerations for Predicting At-risk Students., , , , and . ACE, page 105-113. ACM, (2022)Evaluating LLM-generated Worked Examples in an Introductory Programming Course., , , , and . ACE, page 77-86. ACM, (2024)Taxonomizing features and methods for identifying at-risk students in computing courses., , , , , , , , , and . ITiCSE, page 364-365. ACM, (2018)Pass Rates in Introductory Programming and in other STEM Disciplines., , , , , , , , and . ITiCSE-WGR, page 53-71. ACM, (2019)Evaluating Distance Measures for Program Repair., , , , and . ICER (1), page 495-507. ACM, (2023)