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Exploring the Potential of Large Language Models to Generate Formative Programming Feedback.

, , and . FIE, page 1-5. IEEE, (2023)

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Detecting Code Quality Issues in Pre-written Templates of Programming Tasks in Online Courses., , , , , , and . ITiCSE (1), page 152-158. ACM, (2023)Automatically Classifying Students in Need of Support by Detecting Changes in Programming Behaviour., , and . SIGCSE, page 189-194. ACM, (2017)A Systematic Literature Review of Automated Feedback Generation for Programming Exercises, , and . ACM Trans. Comput. Educ., 19 (1): 3:1--3:43 (September 2018)A Systematic Mapping Study of Code Quality in Education - with Complete Bibliography., , and . CoRR, (2023)Analyzing the Quality of Submissions in Online Programming Courses., , , , , and . SEET@ICSE, page 271-282. IEEE, (2023)Next-Step Hint Generation for Introductory Programming Using Large Language Models., , and . ACE, page 144-153. ACM, (2024)Next-Step Hint Generation for Introductory Programming Using Large Language Models., , and . CoRR, (2023)The Robots are Here: Navigating the Generative AI Revolution in Computing Education., , , , , , , , , and 5 other author(s). CoRR, (2023)Developers talking about code quality., , , , , , , , , and 1 other author(s). Empir. Softw. Eng., 28 (6): 128 (November 2023)How Teachers Would Help Students to Improve Their Code., , and . ITiCSE, page 119-125. ACM, (2019)