research-article

APOGEE: automated project grading and instant feedback system for web based computing

Authors:

Boris Peltsverger,

Jigang LiuAuthors Info & Claims

SIGCSE '08: Proceedings of the 39th SIGCSE technical symposium on Computer science education

Pages 77 - 81

https://doi.org/10.1145/1352135.1352163

Published: 12 March 2008 Publication History

Abstract

Providing consistent, instant, and detailed feedback to students has been a great challenge in teaching Web based computing. We present the prototype of an automated grading system called ProtoAPOGEE for enriching students' learning experience and elevating faculty productivity. Unlike other automated graders used in introductory programming classes, ProtoAPOGEE emphasizes the examination of quality attributes of student project submissions, in addition to the basic functionality requirements. The tool is able to generate step by step play-back guidance for failed test cases, hence providing informative feedback to help students make reflective and iterative improvements in learning.

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Cited By

R. Kumar A. Chandana Priya U. Ramya Sree S. Eswar Sai S. Sravanth Kumar K. Naveen (2023)Student Database Management SystemInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJARSCT-8020(653-658)Online publication date: 27-Jan-2023
https://doi.org/10.48175/IJARSCT-8020
Mishra DEdwards SDoyle MStephenson BDorn BSoh LBattestilli L(2023)The Programming Exercise Markup LanguageProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569734(395-401)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3545945.3569734
Marchiori AMerkle LDoyle MSheard JSoh LDorn B(2022)LabtoolProceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 110.1145/3478431.3499285(1-7)Online publication date: 22-Feb-2022
https://dl.acm.org/doi/10.1145/3478431.3499285
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Index Terms

APOGEE: automated project grading and instant feedback system for web based computing
1. Applied computing
  1. Education
    1. Computer-assisted instruction
2. Software and its engineering
  1. Software creation and management
    1. Software verification and validation
      1. Software defect analysis
        Software testing and debugging

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This automated grading tool, APOGEE, implemented a trial-and-failure learning strategy. The idea is simple: given a sophisticated course project, let students try project submissions as many times as they want before the project deadline. For each ...

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Published In

cover image ACM Conferences

SIGCSE '08: Proceedings of the 39th SIGCSE technical symposium on Computer science education

March 2008

606 pages

ISBN:9781595937995

DOI:10.1145/1352135

General Chairs:
J. D. Dougherty
Haverford College
,
Susan Rodger
Duke University
,
Program Chairs:
Sue Fitzgerald
Metropolitan State University
,
Mark Guzdial
Georgia Institute of Technology

ACM SIGCSE Bulletin Volume 40, Issue 1
SIGCSE 08
March 2008
549 pages
ISSN:0097-8418
DOI:10.1145/1352322
Issue’s Table of Contents

Copyright © 2008 ACM.

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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Published: 12 March 2008

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March 12 - 15, 2008

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Cited By

R. Kumar A. Chandana Priya U. Ramya Sree S. Eswar Sai S. Sravanth Kumar K. Naveen (2023)Student Database Management SystemInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJARSCT-8020(653-658)Online publication date: 27-Jan-2023
https://doi.org/10.48175/IJARSCT-8020
Mishra DEdwards SDoyle MStephenson BDorn BSoh LBattestilli L(2023)The Programming Exercise Markup LanguageProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569734(395-401)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3545945.3569734
Marchiori AMerkle LDoyle MSheard JSoh LDorn B(2022)LabtoolProceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 110.1145/3478431.3499285(1-7)Online publication date: 22-Feb-2022
https://dl.acm.org/doi/10.1145/3478431.3499285
Zsigmond IPop H(2021)Linking Gamification Preferences to Personality Traits in Computer Science Education2021 IEEE 17th International Conference on Intelligent Computer Communication and Processing (ICCP)10.1109/ICCP53602.2021.9733676(259-266)Online publication date: 28-Oct-2021
https://doi.org/10.1109/ICCP53602.2021.9733676
Barra ELópez-Pernas SAlonso ÁSánchez-Rada JGordillo AQuemada J(2020)Automated Assessment in Programming Courses: A Case Study during the COVID-19 EraSustainability10.3390/su1218745112:18(7451)Online publication date: 10-Sep-2020
https://doi.org/10.3390/su12187451
Zamprogno LHolmes RBaniassad EBaniassad ECurtsinger C(2020)Nudging student learning strategies using formative feedback in automatically graded assessmentsProceedings of the 2020 ACM SIGPLAN Symposium on SPLASH-E10.1145/3426431.3428654(1-11)Online publication date: 20-Nov-2020
https://dl.acm.org/doi/10.1145/3426431.3428654
Liu XWang SWang PWu DBeecham SDamian D(2019)Automatic grading of programming assignmentsProceedings of the 41st International Conference on Software Engineering: Software Engineering Education and Training10.1109/ICSE-SEET.2019.00022(126-137)Online publication date: 27-May-2019
https://dl.acm.org/doi/10.1109/ICSE-SEET.2019.00022
Wrenn JKrishnamurthi SFisler KMalmi LKorhonen AMcCartney RPetersen AMalmi LMcCartney R(2018)Who Tests the Testers?Proceedings of the 2018 ACM Conference on International Computing Education Research10.1145/3230977.3230999(51-59)Online publication date: 8-Aug-2018
https://dl.acm.org/doi/10.1145/3230977.3230999
Wilcox CAlphonce CTims JCaspersen MEdwards S(2016)Testing Strategies for the Automated Grading of Student ProgramsProceedings of the 47th ACM Technical Symposium on Computing Science Education10.1145/2839509.2844616(437-442)Online publication date: 17-Feb-2016
https://dl.acm.org/doi/10.1145/2839509.2844616
Kleiner CTebbe CHeine FLaakso MSimon (2013)Automated grading and tutoring of SQL statements to improve student learningProceedings of the 13th Koli Calling International Conference on Computing Education Research10.1145/2526968.2526986(161-168)Online publication date: 14-Nov-2013
https://dl.acm.org/doi/10.1145/2526968.2526986
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