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Work-in-progress: program grading and feedback generation with Web-CAT

Published: 04 March 2014 Publication History

Abstract

Web-CAT, the Web-based Center for Automated Testing, is the most widely used open-source automated grading system for programming assignments in the world. Web-CAT is customizable and extensible, allowing it to support a wide variety of programming languages and assessment strategies. Web-CAT is most well known as the system that "grades students on how well they test their own code," with experimental evidence that it offers greater learning benefits than more traditional output-comparison grading. This work-in-progress demonstration will show how Web-CAT can be used to automatically grade student work, assess conformance with coding style guidelines, provide students with feedback on how well they have tested their own code, and allow instructors to provide directed hints to students on where to focus their attention for improvements.

References

[1]
A. Allevato and S.H. Edwards. 2012. RoboLIFT: Engaging CS2 students with testable, automatically evaluated Android applications. In Proc. 43rd ACM Tech. Symp. Computer Science Education. ACM, pp. 547--552.
[2]
A. Allevato, M. Thornton, S.H. Edwards, and M.A. Pérez-Quiñones. 2008. Mining data from an automated grading and testing system by adding rich reporting capabilities. In Educational Data Mining 2008: 1st Int'l Conf. Educational Data Mining, Proceedings, pp. 167--176.
[3]
A. Allowatt and S.H. Edwards. 2005. IDE support for test-driven development and automated grading in both Java and C++. In Proc. 2005 OOPSLA Workshop on Eclipse Tech. eXchange. ACM, pp. 100--104.
[4]
K. Buffardi and S.H. Edwards. 2013. Impacts of adaptive feedback on teaching test-driven development. In Proc. 44th ACM Tech. Symp. Computer Science Education. ACM, pp. 293--298.
[5]
S.H. Edwards. 2003. Improving student performance by evaluating how well students test their own programs. J. Educ. Resour. Comput. 3(3): Article 1 (September 2003).
[6]
S.H. Edwards. 2004. Using software testing to move students from trial-and-error to reflection-in-action. In Proc. 35th SIGCSE Tech. Symp. Computer Science Education. ACM, pp. 26--30.
[7]
S. H. Edwards, J. Snyder, M. A. Pérez-Quiñones, A. Allevato, D. Kim, and B. Tretola. 2009. Comparing effective and ineffective behaviors of student programmers. In Proc. 5th Int'l Workshop on Comput. Education Research, ICER '09, ACM, New York, NY, USA, pp. 3--14.
[8]
J. Snyder, S.H. Edwards, M.A. Pérez-Quiñones. 201 LIFT: Taking GUI unit testing to new heights. In Proc. 42nd ACM Tech. Symp. Computer Science Education. ACM, pp. 643--648.
[9]
M. Thornton, S.H. Edwards, R.P. Tan, and M.A. Pérez-Quiñones. 2008. Supporting student-written tests of GUI programs. In Proc. 39th SIGCSE Tech. Symp. Computer Science Education. ACM, pp. 537--541.
[10]
The Web-CAT Community. Last accessed 11/8/2013: http://web-cat.org/.

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    cover image ACM Conferences
    L@S '14: Proceedings of the first ACM conference on Learning @ scale conference
    March 2014
    234 pages
    ISBN:9781450326698
    DOI:10.1145/2556325
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 04 March 2014

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    Author Tags

    1. automated grading
    2. automated marking
    3. programming assignments
    4. software testing
    5. static analysis
    6. test-driven development

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    L@S 2014
    Sponsor:
    L@S 2014: First (2014) ACM Conference on Learning @ Scale
    March 4 - 5, 2014
    Georgia, Atlanta, USA

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    L@S '14 Paper Acceptance Rate 14 of 38 submissions, 37%;
    Overall Acceptance Rate 117 of 440 submissions, 27%

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    Cited By

    View all
    • (2022)Stop Reinventing the Wheel! Promoting Community Software in Computing EducationProceedings of the 2022 Working Group Reports on Innovation and Technology in Computer Science Education10.1145/3571785.3574129(261-292)Online publication date: 27-Dec-2022
    • (2022)Leveraging Community Software in CS Education to Avoid Reinventing the WheelProceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 210.1145/3502717.3532169(580-581)Online publication date: 7-Jul-2022
    • (2022)Function Names: Quantifying the Relationship Between Identifiers and Their Functionality to Improve ThemProceedings of the Ninth ACM Conference on Learning @ Scale10.1145/3491140.3528269(93-101)Online publication date: 1-Jun-2022
    • (2021)Simplifying Automated Assessment in CS1Proceedings of the 2021 4th International Conference on Education Technology Management10.1145/3510309.3510345(226-231)Online publication date: 17-Dec-2021
    • (2018)Git-keeperJournal of Computing Sciences in Colleges10.5555/3280489.328050334:1(89-92)Online publication date: 1-Oct-2018
    • (2018)GERMIC: Application of Gesture Recognition Model with Interactive Correction to Manual Grading TasksMobile Computing, Applications, and Services10.1007/978-3-319-90740-6_6(90-105)Online publication date: 6-May-2018
    • (2016)Structure and Management of an Engineering Senior Design CourseJournal of Biomechanical Engineering10.1115/1.4033583138:7Online publication date: 7-Jun-2016

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