research-article

Analyzing Student Work Patterns Using Programming Exercise Data

Authors:

David Hovemeyer,

Robert DuvallAuthors Info & Claims

SIGCSE '15: Proceedings of the 46th ACM Technical Symposium on Computer Science Education

Pages 18 - 23

https://doi.org/10.1145/2676723.2677297

Published: 24 February 2015 Publication History

Abstract

Web-based programming exercises are a useful way for students to practice and master essential concepts and techniques presented in introductory programming courses. Although these systems are used fairly widely, we have a limited understanding of how students use these systems, and what can be learned from the data collected by these systems.

In this paper, we perform a preliminary exploratory analysis of data collected by the CloudCoder programming exercise system from five introductory courses taught in two programming languages across three colleges and universities. We explore a number of interesting correlations in the data that confirm existing hypotheses. Finally, and perhaps most importantly, we demonstrate the effectiveness and future potential of systems like CloudCoder to help us study novice programmers.

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Cited By

Chiu MMoss ERichards TStephenson BStone JBattestilli LRebelsky SShoop L(2024)Effect of Deadlines on Student Submission Timelines and Success in a Fully-Online Self-Paced CourseProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630837(207-213)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630837
Aerts K(2024)Improving Students’ Engagement and Learning Outcomes in a Primer Course on Object Oriented Programming in Java.2024 47th MIPRO ICT and Electronics Convention (MIPRO)10.1109/MIPRO60963.2024.10569397(642-647)Online publication date: 20-May-2024
https://doi.org/10.1109/MIPRO60963.2024.10569397
Gupta AJindal MGoyal A(2024)Identification of Student Programming Patterns through Clickstream Data2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)10.1109/IC2PCT60090.2024.10486775(1153-1158)Online publication date: 9-Feb-2024
https://doi.org/10.1109/IC2PCT60090.2024.10486775
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Index Terms

Analyzing Student Work Patterns Using Programming Exercise Data
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education

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cover image ACM Conferences

SIGCSE '15: Proceedings of the 46th ACM Technical Symposium on Computer Science Education

February 2015

766 pages

ISBN:9781450329668

DOI:10.1145/2676723

General Chairs:
Adrienne Decker
Rochester Institute of Technology
,
Kurt Eiselt
University of British Columbia
,
Program Chairs:
Carl Alphonce
University at Buffalo
,
Jodi Tims
Baldwin Wallace College

Copyright © 2015 ACM.

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Published: 24 February 2015

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Cited By

Chiu MMoss ERichards TStephenson BStone JBattestilli LRebelsky SShoop L(2024)Effect of Deadlines on Student Submission Timelines and Success in a Fully-Online Self-Paced CourseProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630837(207-213)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630837
Aerts K(2024)Improving Students’ Engagement and Learning Outcomes in a Primer Course on Object Oriented Programming in Java.2024 47th MIPRO ICT and Electronics Convention (MIPRO)10.1109/MIPRO60963.2024.10569397(642-647)Online publication date: 20-May-2024
https://doi.org/10.1109/MIPRO60963.2024.10569397
Gupta AJindal MGoyal A(2024)Identification of Student Programming Patterns through Clickstream Data2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)10.1109/IC2PCT60090.2024.10486775(1153-1158)Online publication date: 9-Feb-2024
https://doi.org/10.1109/IC2PCT60090.2024.10486775
Chen JLi XHuang HYan L(2024)RETRACTED ARTICLE: Application of optical imaging detection based on IoT devices in sports dance data monitoring and simulationOptical and Quantum Electronics10.1007/s11082-024-06313-x56:4Online publication date: 5-Feb-2024
https://doi.org/10.1007/s11082-024-06313-x
Poitras EDempsey DCrane BSimpson SSiegel A(2023)The Applications of Learning Analytics to Enhance Learning and Engagement in Introductory Programming InstructionPerspectives on Learning Analytics for Maximizing Student Outcomes10.4018/978-1-6684-9527-8.ch005(89-108)Online publication date: 24-Oct-2023
https://doi.org/10.4018/978-1-6684-9527-8.ch005
de Freitas ACoffman Jde Freitas MWilson JWeingart TDoyle MStephenson BDorn BSoh LBattestilli L(2023)FalconCode: A Multiyear Dataset of Python Code Samples from an Introductory Computer Science CourseProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569822(938-944)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3545945.3569822
Scott SHellas ALeinonen JEdwards JHaiduc SSchneider J(2023)Factors Affecting Compilable State at Each Keystroke in CS1Proceedings of the 45th International Conference on Software Engineering: Software Engineering Education and Training10.1109/ICSE-SEET58685.2023.00036(314-323)Online publication date: 17-May-2023
https://dl.acm.org/doi/10.1109/ICSE-SEET58685.2023.00036
Kaur AChahal K(2023)A learning analytics dashboard for data-driven recommendations on influences of non-cognitive factors in introductory programmingEducation and Information Technologies10.1007/s10639-023-12125-529:8(9221-9256)Online publication date: 7-Sep-2023
https://doi.org/10.1007/s10639-023-12125-5
Aggarwal AAshok A(2022)Exploring the Differences in Students’ Behavioral Engagement With Quizzes and Its Impact on their Performance in a Flipped CS1 CourseProceedings of the 22nd Koli Calling International Conference on Computing Education Research10.1145/3564721.3564740(1-11)Online publication date: 17-Nov-2022
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Castro FLeinonen JHellas A(2022)Experiences With and Lessons Learned on Deadlines and Submission BehaviorProceedings of the 22nd Koli Calling International Conference on Computing Education Research10.1145/3564721.3564728(1-13)Online publication date: 17-Nov-2022
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