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Priti Oli; Rabin Banjade; Jeevan Chapagain; Vasile Rus – Grantee Submission, 2023
This paper systematically explores how Large Language Models (LLMs) generate explanations of code examples of the type used in intro-to-programming courses. As we show, the nature of code explanations generated by LLMs varies considerably based on the wording of the prompt, the target code examples being explained, the programming language, the…
Descriptors: Computational Linguistics, Programming, Computer Science Education, Programming Languages
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Deacon, S. Helene; Campbell, Emily; Tamminga, Meredith; Kirby, John – Applied Psycholinguistics, 2010
This study examined morphological processing of inflected and derived words by children in Grades 4, 6, and 8. Participants were shown root forms and inflected, derived, and orthographic control items (e.g., "harm", "harmed", "harmful", or "harmony"), followed by a fragment completion task (e.g., completing "h a_ _"). Participants were equally…
Descriptors: Language Processing, Morphology (Languages), Grade 4, Grade 6