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Leverage Biology to Learn Rapidly From Mistakes Without Feeling Like a Failure.

, , , и . Comput. Sci. Eng., 25 (2): 44-49 (марта 2023)

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Leverage Biology to Learn Rapidly From Mistakes Without Feeling Like a Failure., , , и . Comput. Sci. Eng., 25 (2): 44-49 (марта 2023)Metacognitive Difficulties Faced by Novice Programmers in Automated Assessment Tools., , , , , и . ICER, стр. 41-50. ACM, (2018)Unexpected Tokens: A Review of Programming Error Messages and Design Guidelines for the Future., , , , , , , , , и 2 other автор(ы). ITiCSE, стр. 253-254. ACM, (2019)Generative AI in Education: A Study of Educators' Awareness, Sentiments, and Influencing Factors., , и . CoRR, (2024)Using Large Language Models to Enhance Programming Error Messages., , , , , , и . SIGCSE (1), стр. 563-569. ACM, (2023)Error Message Readability and Novice Debugging Performance., , и . ITiCSE, стр. 480-486. ACM, (2020)Towards Assessing the Readability of Programming Error Messages., , , , , и . ACE, стр. 181-188. ACM, (2021)Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators., , , , , , и . CoRR, (2023)Evaluating the Performance of Code Generation Models for Solving Parsons Problems With Small Prompt Variations., , , , , , , , и . ITiCSE (1), стр. 299-305. ACM, (2023)Chat Overflow: Artificially Intelligent Models for Computing Education - renAIssance or apocAIypse?, , , и . ITiCSE (1), стр. 3-4. ACM, (2023)