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

, , и . FIE, стр. 1-5. IEEE, (2023)

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Vera Keuning

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A Systematic Literature Review of Automated Feedback Generation for Programming Exercises, , и . ACM Trans. Comput. Educ., 19 (1): 3:1--3:43 (сентября 2018)Next-Step Hint Generation for Introductory Programming Using Large Language Models., , и . ACE, стр. 144-153. ACM, (2024)Analyzing the Quality of Submissions in Online Programming Courses., , , , , и . SEET@ICSE, стр. 271-282. IEEE, (2023)Detecting Code Quality Issues in Pre-written Templates of Programming Tasks in Online Courses., , , , , , и . ITiCSE (1), стр. 152-158. ACM, (2023)Automatically Classifying Students in Need of Support by Detecting Changes in Programming Behaviour., , и . SIGCSE, стр. 189-194. ACM, (2017)Towards Giving Timely Formative Feedback and Hints to Novice Programmers., , , , , , , , , и . ITiCSE-WGR, стр. 95-115. ACM, (2022)Student Code Refactoring Misconceptions., , и . ITiCSE (1), стр. 19-25. ACM, (2023)Exploring the Potential of Large Language Models to Generate Formative Programming Feedback., , и . FIE, стр. 1-5. IEEE, (2023)What Skills Do You Need When Developing Software Using ChatGPT? (Discussion Paper)., , и . Koli Calling, стр. 38:1-38:6. ACM, (2023)The Robots are Here: Navigating the Generative AI Revolution in Computing Education., , , , , , , , , и 5 other автор(ы). CoRR, (2023)