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Machine learning based feedback on textual student answers in large courses., , and . Comput. Educ. Artif. Intell., (2022)Stager: Simplifying the Manual Assessment of Programming Exercises., , , and . SEUH, volume 2358 of CEUR Workshop Proceedings, page 34-43. CEUR-WS.org, (2019)Recommendations to Create Programming Exercises to Overcome ChatGPT., and . CSEE&T, page 147-151. IEEE, (2023)Plagiarism Detection and its Effect on the Learning Outcomes., , and . CSEE&T, page 99-108. IEEE, (2023)Constructive Alignment in Modern Computing Education: An Open-Source Computer-Based Examination System., , and . Koli Calling, page 7:1-7:11. ACM, (2023)Semi-Automatic Assessment of Modeling Exercises using Supervised Machine Learning.. HICSS, page 1-10. ScholarSpace, (2022)Introduction to the Minitrack on Assessment, Evaluation and Measurements (AEM).. HICSS, page 1-2. ScholarSpace, (2022)Catching up with method and process practice: an industry-informed baseline for researchers, , , , , , , , , and 11 other author(s). Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, ICSE (SEIP) 2019, Montreal, QC, Canada, May 25-31, 2019, page 255--264. (2019)ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education, , , , , , , , , and 13 other author(s). EdArXiv, (January 2023)Integrating Competency-Based Education in Interactive Learning Systems., , and . CoRR, (2023)