Výsledky vyhľadávania - "Programming Exercise Generation"

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  1. 1

    A Survey Study on the State of the Art of Programming Exercise Generation Using Large Language Models Autor Frankford, Eduard, Hohn, Ingo, Sauerwein, Clemens, Breu, Ruth

    ISSN: 2377-570X
    Vydavateľské údaje: IEEE 29.07.2024
    “…This paper analyzes Large Language Models (LLMs) with regard to their programming exercise generation capabilities…”
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  2. 2

    Automated Programming Exercise Generation in the Era of Large Language Models Autor Meibner, Niklas, Speth, Sandro, Becker, Steffen

    ISSN: 2377-570X
    Vydavateľské údaje: IEEE 29.07.2024
    “…Lecturers are increasingly attempting to use large language models (LLMs) to simplify and make the creation of exercises for students more efficient. Efforts…”
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  3. 3

    Human Evaluation of GPT for Scalable Python Programming Exercise Generation Autor Akbar Khan, Muhammad Fawad, Ramsdell, Max, Nguyen, Ha, Karimi, Hamid

    ISSN: 2766-4112
    Vydavateľské údaje: IEEE 06.10.2024
    “…Online coding platforms (OCPs) often offer a limited selection of exercises, which can restrict the scope of Computer Science (CS) education. This study…”
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  4. 4

    Dataset of Program Source Codes Solving Unique Programming Exercises Generated by Digital Teaching Assistant Autor Demidova, Liliya A., Andrianova, Elena G., Sovietov, Peter N., Gorchakov, Artyom V.

    ISSN: 2306-5729, 2306-5729
    Vydavateľské údaje: Basel MDPI AG 01.06.2023
    Vydané v Data (Basel) (01.06.2023)
    “…This paper presents a dataset containing automatically collected source codes solving unique programming exercises of different types. The programming…”
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  5. 5

    CodeContrast: A Contrastive Learning Approach for Generating Coherent Programming Exercises Autor Torres, Nicolás

    ISSN: 2227-7102, 2227-7102
    Vydavateľské údaje: Basel MDPI AG 01.01.2025
    Vydané v Education sciences (01.01.2025)
    “…Generating high-quality programming exercises with well-aligned problem descriptions, test cases, and code solutions is crucial for computer science education…”
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  6. 6

    Classification of Program Texts Represented as Markov Chains with Biology-Inspired Algorithms-Enhanced Extreme Learning Machines Autor Demidova, Liliya A., Gorchakov, Artyom V.

    ISSN: 1999-4893, 1999-4893
    Vydavateľské údaje: Basel MDPI AG 01.09.2022
    Vydané v Algorithms (01.09.2022)
    “… The Digital Teaching Assistant (DTA) system addresses this issue by automating unique programming exercise generation and checking, and provides means for analyzing programs received from students by the end of semester…”
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    Journal Article