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Pass Rates in Introductory Programming and in other STEM Disciplines., , , , , , , , and . ITiCSE-WGR, page 53-71. ACM, (2019)Taxonomizing features and methods for identifying at-risk students in computing courses., , , , , , , , , and . ITiCSE, page 364-365. ACM, (2018)Leveraging Large Language Models for Analysis of Student Course Feedback., , , and . COMPUTE, page 76-79. ACM, (2023)The Forum Factor: Exploring the Link between Online Discourse and Student Achievement in Higher Education., , , , , and . COMPUTE, page 80-83. ACM, (2023)Time-on-Task Metrics for Predicting Performance., , and . SIGCSE (1), page 871-877. ACM, (2022)Could ChatGPT Be Used for Reviewing Learnersourced Exercises?, and . Koli Calling, page 42:1-42:2. ACM, (2023)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)Students' Preferences Between Traditional and Video Lectures: Profiles and Study Success., , and . Koli Calling, page 29:1-29:5. ACM, (2020)Morning or Evening? An Examination of Circadian Rhythms of CS1 Students., , , , and . ICSE (SEET), page 261-272. IEEE, (2021)