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Automated Extraction of Domain Models from Textbook Indexes for Developing Intelligent Tutoring Systems

, , and . Augmented Intelligence and Intelligent Tutoring Systems, page 124--136. Cham, Springer Nature Switzerland, (2023)

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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, , , , , , , , , and 441 other author(s). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.A Comparative Study of Free Self-Explanations and Socratic Tutoring Explanations for Source Code Comprehension., , , , and . SIGCSE, page 219-225. ACM, (2021)Explaining Code Examples in Introductory Programming Courses: LLM vs Humans., , , , , , and . CoRR, (2024)Automated Assessment of Student Self-explanation During Source Code Comprehension., , , , and . FLAIRS, (2022)Domain Model Discovery from Textbooks for Computer Programming Intelligent Tutors., , , , and . FLAIRS, (2021)Automated Assessment of Students' Code Comprehension using LLMs., , , and . CoRR, (2024)Automated Extraction of Domain Models from Textbook Indexes for Developing Intelligent Tutoring Systems., , and . ITS, volume 13891 of Lecture Notes in Computer Science, page 124-136. Springer, (2023)SelfCode: An Annotated Corpus and a Model for Automated Assessment of Self-Explanation During Source Code Comprehension., , , , , , and . FLAIRS, AAAI Press, (2023)The Behavior of Large Language Models When Prompted to Generate Code Explanations., , , and . CoRR, (2023)Improving Code Comprehension Through Scaffolded Self-explanations., , , , , , and . AIED (Posters/Late Breaking Results/...), volume 1831 of Communications in Computer and Information Science, page 478-483. Springer, (2023)