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Grading student programs using ASSYST

Authors:

David Jackson,

Michelle UsherAuthors Info & Claims

SIGCSE '97: Proceedings of the twenty-eighth SIGCSE technical symposium on Computer science education

Pages 335 - 339

https://doi.org/10.1145/268084.268210

Published: 01 March 1997 Publication History

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Abstract

The task of grading solutions to student programming exercises is laborious and error-prone. We have developed a software tool called ASSYST that is designed to relieve a tutor of much of the burden of assessing such programs. ASSYST offers a graphical interface that can be used to direct all aspects of the grading process, and it considers a wide range of criteria in its automatic assessment. Experience with the system has been encouraging.

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Biró PKádek T(2024)Comparing Student Results on a Programming Task During a Contest and a Practice Situation with the Help of the ProgCont System2024 IEEE Global Engineering Education Conference (EDUCON)10.1109/EDUCON60312.2024.10578829(1-6)Online publication date: 8-May-2024
https://doi.org/10.1109/EDUCON60312.2024.10578829
Lagakis PDemetriadis SPsathas G(2024)Automated Grading in Coding Exercises Using Large Language ModelsSmart Mobile Communication & Artificial Intelligence10.1007/978-3-031-54327-2_37(363-373)Online publication date: 27-Feb-2024
https://doi.org/10.1007/978-3-031-54327-2_37
Haaranen LAhrenberg LHellas A(2023)Decades of Striving for Pedagogical and Technological AlignmentProceedings of the 23rd Koli Calling International Conference on Computing Education Research10.1145/3631802.3631809(1-8)Online publication date: 13-Nov-2023
https://dl.acm.org/doi/10.1145/3631802.3631809
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Index Terms

Grading student programs using ASSYST
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
      2. Model curricula
2. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Software implementation planning
        Software design techniques
    2. Software development process management

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Published In

SIGCSE '97: Proceedings of the twenty-eighth SIGCSE technical symposium on Computer science education

March 1997

410 pages

ISBN:0897918894

DOI:10.1145/268084

Chairmen:
Curt M. White
Rosary College, River forest, IL
,
Carl Erickson
Grand Valley State Univ., Allendale MI
,
Bruce Klein
Grand Valley State Univ., Allendale, MI
,
Editor:
James E. Miller
Univ. of Southern Mississippi, Hattiesburg

ACM SIGCSE Bulletin Volume 29, Issue 1
March 1997
388 pages
ISSN:0097-8418
DOI:10.1145/268085
Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 March 1997

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SIGCSE97

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SIGCSE

SIGCSE97: 28th SIGCSE Technical Symposium on Computer Science Education

February 27 - March 1, 1997

California, San Jose, USA

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SIGCSE '97 Paper Acceptance Rate 75 of 177 submissions, 42%;

Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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Cited By

View all

Biró PKádek T(2024)Comparing Student Results on a Programming Task During a Contest and a Practice Situation with the Help of the ProgCont System2024 IEEE Global Engineering Education Conference (EDUCON)10.1109/EDUCON60312.2024.10578829(1-6)Online publication date: 8-May-2024
https://doi.org/10.1109/EDUCON60312.2024.10578829
Lagakis PDemetriadis SPsathas G(2024)Automated Grading in Coding Exercises Using Large Language ModelsSmart Mobile Communication & Artificial Intelligence10.1007/978-3-031-54327-2_37(363-373)Online publication date: 27-Feb-2024
https://doi.org/10.1007/978-3-031-54327-2_37
Haaranen LAhrenberg LHellas A(2023)Decades of Striving for Pedagogical and Technological AlignmentProceedings of the 23rd Koli Calling International Conference on Computing Education Research10.1145/3631802.3631809(1-8)Online publication date: 13-Nov-2023
https://dl.acm.org/doi/10.1145/3631802.3631809
Balse RValaboju BSinghal SWarriem JPrasad PLaakso MMonga MSimon Sheard J(2023)Investigating the Potential of GPT-3 in Providing Feedback for Programming AssessmentsProceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 110.1145/3587102.3588852(292-298)Online publication date: 29-Jun-2023
https://dl.acm.org/doi/10.1145/3587102.3588852
Leinonen JHellas AEdwards JLaakso MMonga MSimon Sheard J(2023)Seeing Program Output Improves Novice Learning GainsProceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 110.1145/3587102.3588796(180-186)Online publication date: 29-Jun-2023
https://dl.acm.org/doi/10.1145/3587102.3588796
Mitra JDoyle MStephenson BDorn BSoh LBattestilli L(2023)Studying the Impact of Auto-Graders Giving Immediate Feedback in Programming AssignmentsProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569726(388-394)Online publication date: 2-Mar-2023
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Inturi SSwamydas M(2023)Programming Assignment Grading Through Control Statement and Program Features2023 International Conference on Emerging Techniques in Computational Intelligence (ICETCI)10.1109/ICETCI58599.2023.10331134(122-129)Online publication date: 21-Sep-2023
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López-Pernas SApiola MSaqr MPears ATedre M(2023)A Scientometric Perspective on the Evolution of the SIGCSE Technical Symposium: 1970–2021Past, Present and Future of Computing Education Research10.1007/978-3-031-25336-2_10(193-212)Online publication date: 5-Jan-2023
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Sarsa SLeinonen JKoutcheme CHellas A(2022)Speeding Up Automated Assessment of Programming ExercisesProceedings of the 2022 Conference on United Kingdom & Ireland Computing Education Research10.1145/3555009.3555013(1-7)Online publication date: 1-Sep-2022
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Califf MDunne NMerkle LDoyle MSheard JSoh LDorn B(2022)Feedback in Context: Using a Code Review Tool for Program GradingProceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 110.1145/3478431.3499402(92-97)Online publication date: 22-Feb-2022
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