Search Results - Student Programming Code Grading

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  1. 1

    Automated Grading Through Contrastive Learning: A Gradient Analysis and Feature Ablation Approach by Sokac, Mateo, Fabijanic, Mario, Mekterovic, Igor, Mrsic, Leo

    ISSN: 2504-4990, 2504-4990
    Published: Basel MDPI AG 01.06.2025
    Published in Machine learning and knowledge extraction (01.06.2025)
    “…As programming education becomes increasingly complex, grading student code has become a challenging task…”
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    Journal Article
  2. 2

    Some aspects of grading Java code submissions in MOOCs by Király, Sándor, Nehéz, Károly, Hornyák, Olivér

    ISSN: 2156-7077, 2156-7069, 2156-7077
    Published: Jarfalla Association for Learning Technology 01.01.2017
    Published in Research in learning technology (01.01.2017)
    “… A typical MOOC course consists of video lectures, reading material and easily accessible tests for students…”
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    Journal Article
  3. 3

    Experiences With Auto-Grading in a Systems Course by Rao, Dhananjai M.

    ISSN: 2377-634X
    Published: IEEE 01.10.2019
    “…). It is integrated with our existing Canvas Learning Management System (LMS). This paper presents experiences from both student and instructor perspectives with using auto-grading in a junior-level, systems course with a heavy emphasis on programming in C++…”
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    Conference Proceeding
  4. 4

    eExam Framework for Programming Classes by Appavoo, Paramasiven, Meetoo-Appavoo, Anuja

    Published: IEEE 06.10.2022
    “…Conducting practical tests or exams, and grading assignments related to programming modules for a large group of students are tedious, error-prone, and time consuming…”
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    Conference Proceeding
  5. 5

    Teaching the art of functional programming using automated grading (experience report) by Hameer, Aliya, Pientka, Brigitte

    ISSN: 2475-1421, 2475-1421
    Published: 01.08.2019
    “… They make programming more accessible, as no installation is required; and automatic grading facilities provide students with immediate feedback on their code, allowing them to to fix bugs and address errors in their understanding right away…”
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    Journal Article
  6. 6

    Ai-Based Automated Grading of Source Code of Introductory Programming Assignments by Havare, Jayant, Apte, Varsha, Maharajan, Kaushikraj, Samudrala, Nithin Chandra Gupta, Ramakrishnan, Ganesh, Tamilselvam, Srikanth, Vavilapalli, Sainath

    ISSN: 2643-7171
    Published: IEEE 27.04.2025
    “…In a typical introductory programming course, grading of student submitted programs is often done manually by examining the source code prior to assigning the final grade for reasons such as checking…”
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    Conference Proceeding
  7. 7

    An AI-based Approach for Grading Students' Collaboration by Tomic, Bojan B., Kijevcanin, Anisja D., Sevarac, Zoran V., Jovanovic, Jelena M.

    ISSN: 1939-1382, 2372-0050
    Published: Piscataway IEEE 01.06.2023
    Published in IEEE transactions on learning technologies (01.06.2023)
    “… A quantitative, modular, AI-based approach for assessing and grading students' collaboration has been examined in this paper…”
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    Journal Article
  8. 8

    JorGPT: Instructor-Aided Grading of Programming Assignments with Large Language Models (LLMs) by Cisneros-González, Jorge, Gordo-Herrera, Natalia, Barcia-Santos, Iván, Sánchez-Soriano, Javier

    ISSN: 1999-5903, 1999-5903
    Published: Basel MDPI AG 01.06.2025
    Published in Future internet (01.06.2025)
    “… “Introduction to Programming” course. This study addresses the challenges of manual grading, including time constraints and potential inconsistencies, by proposing a system that integrates several LLMs to streamline the assessment process…”
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    Journal Article
  9. 9

    CAGE: A Tool for Code Assessment and Grading by Kanoglu, Umit, Yildiz, Oguz Kerem, Sozer, Hasan, Yildiz, Olcay Taner

    ISSN: 2521-1641
    Published: IEEE 26.10.2024
    “…We introduce CAGE, a tool that is implemented as a Java application for reducing manual effort and inconsistent evaluations in grading programming assignments and exams…”
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    Conference Proceeding
  10. 10

    GRAD-AI: An automated grading tool for code assessment and feedback in programming course by Gambo, Ishaya, Abegunde, Faith-Jane, Gambo, Omobola, Ogundokun, Roseline Oluwaseun, Babatunde, Akinbowale Natheniel, Lee, Cheng-Chi

    ISSN: 1360-2357, 1573-7608
    Published: New York Springer US 01.05.2025
    Published in Education and information technologies (01.05.2025)
    “… This paper aims to develop "GRAD-AI," an automated grading tool for computer programming assignments…”
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    Journal Article
  11. 11

    CodeMaster - Automatic Assessment and Grading of App Inventor and Snap! Programs by Wangenheim, Christiane Gresse von, Hauck, Jean Carlo Rossa, Demetrio, Matheus Faustino, Pelle, Rafael, Cruz Alves, Nathalia da, Barbosa, Heliziane, Azevedo, Luiz Felipe

    ISSN: 1648-5831, 2335-8971
    Published: Vilnius Vilniaus Universiteto Leidykla 01.01.2018
    Published in Informatics in education (01.01.2018)
    “… In this context, automatic assessment and grading has become important. While there exist diverse graders for text-based languages, support for block-based programming languages is still scarce…”
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    Journal Article
  12. 12

    VISGRADER: Automatic Grading of D3 Visualizations by Hull, Matthew, Pednekar, Vivian, Murray, Hannah, Roy, Nimisha, Tung, Emmanuel, Routray, Susanta, Guerin, Connor, Chen, Justin, Wang, Zijie J., Lee, Seongmin, Roozbahani, Mahdi, Chau, Duen Horng

    ISSN: 1077-2626, 1941-0506, 1941-0506
    Published: IEEE 01.01.2024
    “…Manually grading D3 data visualizations is a challenging endeavor, and is especially difficult for large classes with hundreds of students…”
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    Journal Article
  13. 13

    A Comparison between Two Automatic Assessment Approaches for Programming: An Empirical Study on MOOCs by Bey, Anis, Jermann, Patrick, Dillenbourg, Pierre

    ISSN: 1176-3647, 1436-4522, 1436-4522
    Published: Palmerston North International Forum of Educational Technology & Society 01.04.2018
    Published in Educational Technology & Society (01.04.2018)
    “…). The automatic grading of programs presents an opportunity to assess and provide tailored feedback to large classes, while featuring at the same time a number of benefits like…”
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    Journal Article
  14. 14

    Effect of flipped classroom and automatic source code evaluation in a CS1 programming course according to the Kirkpatrick evaluation model by Mosquera, Jose Miguel Llanos, Suarez, Carlos Giovanny Hidalgo, Guerrero, Victor Andres Bucheli

    ISSN: 1360-2357, 1573-7608
    Published: New York Springer US 01.10.2023
    Published in Education and information technologies (01.10.2023)
    “…This paper proposes to evaluate learning efficiency by implementing the flipped classroom and automatic source code evaluation based on the Kirkpatrick evaluation model in students of CS1 programming course…”
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    Journal Article
  15. 15

    A Comparative Study of Large Language Models in Programming Education: Accuracy, Efficiency, and Feedback in Student Assignment Grading by Bernik, Andrija, Radošević, Danijel, Čep, Andrej

    ISSN: 2076-3417, 2076-3417
    Published: Basel MDPI AG 01.09.2025
    Published in Applied sciences (01.09.2025)
    “…Programming education traditionally requires extensive manual assessment of student assignments, which is both time-consuming and resource-intensive for instructors…”
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    Journal Article
  16. 16

    Testing and Debugging Habits of Intermediate Student Programmers by Izu, Cruz, Weeransinghe, Amali

    ISSN: 2165-9567
    Published: IEEE 08.05.2024
    “… As computer science students gain coding experience and complete further programming courses, they are expected to become competent debuggers with limited or no further instruction…”
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    Conference Proceeding
  17. 17

    Model‐based automatic grading of object‐oriented programming assignments by Le, Duc Minh

    ISSN: 1061-3773, 1099-0542
    Published: Hoboken Wiley Subscription Services, Inc 01.03.2022
    “…Automatic grading of object‐oriented programming (OOP) assignments is an important problem from practical, theoretical, and educational viewpoint…”
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    Journal Article
  18. 18

    Automatic Grading Tool for Jupyter Notebooks in Artificial Intelligence Courses by González-Carrillo, Cristian D., Restrepo-Calle, Felipe, Ramírez-Echeverry, Jhon J., González, Fabio A.

    ISSN: 2071-1050, 2071-1050
    Published: Basel MDPI AG 01.11.2021
    Published in Sustainability (01.11.2021)
    “…Jupyter notebooks provide an interactive programming environment that allows writing code, text, equations, and multimedia resources…”
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    Journal Article
  19. 19

    AI-Powered Learning: Revolutionizing Education and Automated Code Evaluation by Bernik, Andrija, Radošević, Danijel, Čep, Andrej

    ISSN: 2078-2489, 2078-2489
    Published: Basel MDPI AG 01.11.2025
    Published in Information (Basel) (01.11.2025)
    “…The paper presents a case study on using artificial intelligence (AI) for preliminary grading of student programming assignments…”
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    Journal Article
  20. 20

    Approaches to Assess Computational Thinking Competences Based on Code Analysis in K-12 Education: A Systematic Mapping Study by Da Cruz Alves, Nathalia, Gresse von Wangenheim, Christiane, Hauck, Jean Carlo Rossa

    ISSN: 1648-5831, 2335-8971
    Published: Vilnius Vilniaus Universiteto Leidykla 01.01.2019
    Published in Informatics in education (01.01.2019)
    “… Automatic assessment tools can support teachers with their assessment and grading as well as guide students throughout their learning process…”
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    Journal Article