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CloudCoder: building a community for creating, assigning, evaluating and sharing programming exercises (abstract only)

Published: 06 March 2013 Publication History

Abstract

Automatically-tested online programming exercises can be useful in introductory programming courses as self-tests to accompany readings, for in-class assessment, for skills development, and to provide additional practice for students who need it. CloudCoder (http://cloudcoder.org) is an effort to build a community based on an open-source programming exercise system (currently supporting C, Java, and Python) tightly integrated with a repository of freely-redistributable programming exercises written and used by members of the community. The goal of the project is to make programming exercises easy and free to incorporate into any programming course.

Cited By

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  • (2022)Automatic Generation of Programming Exercises and Code Explanations Using Large Language ModelsProceedings of the 2022 ACM Conference on International Computing Education Research - Volume 110.1145/3501385.3543957(27-43)Online publication date: 3-Aug-2022
  • (2022)Striving for platform independence in the e-learning landscape: a study on a flexible exercise creation system2022 International Conference on Advanced Learning Technologies (ICALT)10.1109/ICALT55010.2022.00021(46-48)Online publication date: Jul-2022
  • (2021)Adaptive User Interface for Smart Programming Exercise2021 IEEE International Conference on Engineering, Technology & Education (TALE)10.1109/TALE52509.2021.9678757(01-07)Online publication date: 5-Dec-2021
  • Show More Cited By

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  1. CloudCoder: building a community for creating, assigning, evaluating and sharing programming exercises (abstract only)

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    cover image ACM Conferences
    SIGCSE '13: Proceeding of the 44th ACM technical symposium on Computer science education
    March 2013
    818 pages
    ISBN:9781450318686
    DOI:10.1145/2445196
    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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    Publication History

    Published: 06 March 2013

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    Author Tags

    1. automated testing
    2. cloudcoder
    3. cs1

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    SIGCSE '13 Paper Acceptance Rate 111 of 293 submissions, 38%;
    Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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    Cited By

    View all
    • (2022)Automatic Generation of Programming Exercises and Code Explanations Using Large Language ModelsProceedings of the 2022 ACM Conference on International Computing Education Research - Volume 110.1145/3501385.3543957(27-43)Online publication date: 3-Aug-2022
    • (2022)Striving for platform independence in the e-learning landscape: a study on a flexible exercise creation system2022 International Conference on Advanced Learning Technologies (ICALT)10.1109/ICALT55010.2022.00021(46-48)Online publication date: Jul-2022
    • (2021)Adaptive User Interface for Smart Programming Exercise2021 IEEE International Conference on Engineering, Technology & Education (TALE)10.1109/TALE52509.2021.9678757(01-07)Online publication date: 5-Dec-2021
    • (2019)Amelioration of Teaching Strategies by Exploring Code Quality and Submission BehaviorIEEE Access10.1109/ACCESS.2019.29486407(152744-152754)Online publication date: 2019
    • (2018)PCEXProceedings of the 18th Koli Calling International Conference on Computing Education Research10.1145/3279720.3279726(1-9)Online publication date: 22-Nov-2018
    • (2017)Examining a Student-Generated Question Activity Using Random Topic AssignmentProceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education10.1145/3059009.3059033(146-151)Online publication date: 28-Jun-2017
    • (2017)The effects of bite-size distributed practices for programming novices2017 IEEE Frontiers in Education Conference (FIE)10.1109/FIE.2017.8190593(1-9)Online publication date: Oct-2017
    • (2017)Quantitative Analysis of Learning Data in a Programming CourseDatabase Systems for Advanced Applications10.1007/978-3-319-55705-2_37(436-441)Online publication date: 22-Mar-2017
    • (2015)Measuring the effect of inventing practice exercises on learning in an introductory programming courseProceedings of the 15th Koli Calling Conference on Computing Education Research10.1145/2828959.2828967(13-22)Online publication date: 19-Nov-2015
    • (2015)PCRS-CProceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education10.1145/2729094.2754852(347-347)Online publication date: 22-Jun-2015
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