research-article

Increasing student success by modifying course delivery based on student submission data

Authors:

Steven C. Shaffer,

Mary Beth RossonAuthors Info & Claims

ACM Inroads, Volume 4, Issue 4

Pages 81 - 86

https://doi.org/10.1145/2537753.2537778

Published: 01 December 2013 Publication History

Get Access

References

[1]

Ala-Mutka, K. M. "A survey of automated assessment approaches for programming assignments." Computer Science Education, 15, 2 (2005): 83--102.

Crossref

Google Scholar

[2]

Anderson, J. and Skwarecki, E. 1986. "The automated tutoring of introductory computer programming." Communications of the ACM, 29, 9 (1986): 842--849.

Digital Library

Google Scholar

[3]

Bennedsen, J., and Caspersen, M. E. "Failure rates in introductory programming." ACM SIGCSE Bulletin, 39, 2 (2007): 32--36.

Digital Library

Google Scholar

[4]

Blackwell, A. "First Steps in programming: a rationale for attention investment models." IEEE 2002 Symposia on Human Centric Computing Languages and environments, 2002.

Digital Library

Google Scholar

[5]

Buck, D. and Stucki, D. "Design early considered harmful: Graduated exposure to complexity and structure based on levels of cognitive development." Proceedings of SIGCSE '00 (New York: ACM Press, 2000): 75--79.

Digital Library

Google Scholar

[6]

Carlisle, M. C. "Using You Tube to enhance student class preparation in an introductory Java course." Proceedings of SIGCSE '10 (New York: ACM Press, 2010): 470--474.

Digital Library

Google Scholar

[7]

Cheang, B., et al. "On automated grading of programming assignments in an academic institution." Computers and Education, 41 (2003): 121--131.

Digital Library

Google Scholar

[8]

Clancy, M., et al., Eds "New roles for students, instructors, and computers in a lab-based introductory programming course." SIGCSE'03: Conference of the ACM special interest group on computer science education, (New York: ACM Press, 2003).

Digital Library

Google Scholar

[9]

Davies, S. "Knowledge restructuring and the acquisition of programming expertise." International Journal of Human-Computer Studies, 40 (1994): 703--725.

Digital Library

Google Scholar

[10]

Douce, C., Livingstone, D. and Corwell, J. "Automatic Test-Based Assessment of Programming: A Review." ACM Journal of Educational Resources in Computing, 5, 3 (2005): Article 4.

Digital Library

Google Scholar

[11]

Fay, A. and Mayer, R. "Learning LOGO: A cognitive analysis." In R. E. Meyer (Ed.), Teaching and Learning Computer Programming: Multiple Research Perspectives. (Hillsdale, NJ: Lawrence Erlbaum Associates, 1988): 55--74.

Google Scholar

[12]

Fincher, S., et al. "Predictors of success in a first programming course." Proceedings of the 8th Australasian Conference on Computing Education. (Darlinghurst, Australia: Australian Computer Society, Inc., 2006), 52: 189--196.

Digital Library

Google Scholar

[13]

Gentile, J.R. and Lalley, J.P. Standards and Mastery Learning: Aligning Teaching and Assessment So All Children Can Learn. Corwin Press; 1st Edition, 2003.

Google Scholar

[14]

Gerdes, A. Jeuring, J.T. & Heeren, B.J. "Using Strategies for Assessment of Programming Exercises." Proceedings of SIGCSE'10, March 10--13, 2010, Milwaukee, Wisconsin, USA. (New York: ACM, 2010).

Digital Library

Google Scholar

[15]

Heaney, D., and Daly, C. "Mass production of individual feedback." ACM SIGCSE Bulletin 36, 3 (2004): 117--121.

Digital Library

Google Scholar

[16]

Kleinman, J. and Entin, E. "Comparison of in-class and distance-learning students' performance and attitudes in an introductory computer science course." Journal of Computing Sciences in College, 17, 6: 206--219.

Digital Library

Google Scholar

[17]

Ko, A. and Myers, B. "A framework and methodology for studying the causes of software errors in programming systems." Journal of Visual Languages & Computing, 16 (2005): 41--84.

Digital Library

Google Scholar

[18]

Lane, H. and VanLehn, K. 2003. "Coached program planning: Dialogue-based support for novice program design." Proceedings of SIGCSE '03 (New York: ACM Press): 148--152).

Digital Library

Google Scholar

[19]

Lehre, R., Guckenberg, T. and Sancilio, L. "Influences of LOGO on children's intellectual development." In R. E. Meyer (Ed.), Teaching and Learning Computer Programming: Multiple Research Perspectives. (Hillsdale, NJ: Lawrence Erlbaum Associates, 1988): 75--110.

Google Scholar

[20]

Mancy, R. and Reid, N. "Aspects of cognitive style and programming." Proceedings of 16th Annual Workshop of the Psychology of Programming Interest Group (PPIG), Institute of Technology, Carlow, Ireland, 5--7 April 2004, 1--9.

Google Scholar

[21]

Mayer, R. "Learning in complex domains: A cognitive analysis of computer programming." The Psychology of Learning and Motivation, 19 (1985): 89--130.

Crossref

Google Scholar

[22]

Mayer, R. 1988. "Introduction to research on teaching and learning computer programming." In R. E. Meyer (Ed.), Teaching and Learning Computer Programming: Multiple Research Perspectives (pp. 1--12). Hillsdale, NJ, USA: Lawrence Erlbaum Associates.

Google Scholar

[23]

McCraken, M. et. al. "A multi-national, multi-institutional study of assessment of programming skills of first-year CS students." ACM SIGCSE Bulletin, 33, 4 (2001): 125--180.

Digital Library

Google Scholar

[24]

McGill, T., Volet, S., & Hobbs, V. "Studying programming externally: Who succeeds?" Distance Education, 18, 2 (1997): 236--256.

Crossref

Google Scholar

[25]

Odekirk-Hash, E. & Zachary, J. "Automated feedback on programs means students need less help from teachers." Proceedings of SIGCSE '01, (New York: ACM, 2001).

Digital Library

Google Scholar

[26]

Pears, A., et al. "A survey of literature on the teaching of introductory programming." ACM SIGCSE Bulletin 39, 4, (2007): 204--223.

Digital Library

Google Scholar

[27]

Pennington, N. Cognitive components of expertise in computer programming: A review of the literature. (Washington, D.C.: American Psychological Association, 1985).

Google Scholar

[28]

Petersen, A., Craig, M., & Zingaro, D. "Reviewing CS1 exam question content." Proceedings of SIGCSE '11 (New York: ACM Press, 2011): 631--636.

Digital Library

Google Scholar

[29]

Prabhakararao, S. "Bringing educational theory to end-user programming." Proceedings of the 2003 IEEE Symposium on Human Centric Computing Languages and Environments, 2003: 281--282.

Digital Library

Google Scholar

[30]

Ramalingam, V., LaBelle, D., & Wiedenbeck, S. "Self-efficacy and mental models in learning to program." ACM SIGCSE Bulletin. 36, 3 (2004): 171--175).

Digital Library

Google Scholar

[31]

Robins, A. "Learning edge momentum: A new account of outcomes in CS1." Computer Science Education, 20, 1 (2010): 37--71.

Crossref

Google Scholar

[32]

Romero, P., et al. "Co-ordination of multiple external representations during Java program debugging." Proceedings of the IEEE 2002 Symposia on Human Centric Computing Languages and Environments, (New York: IEEE, 2002).

Digital Library

Google Scholar

[33]

Rosson, M.B., Ballin, J., & Nash, H. "Everyday programming: Challenges and opportunities for informal web development." Visual Languages and Human-Centric Computing 2004 (New York: IEEE, 2004): 123--130).

Digital Library

Google Scholar

[34]

Rosson, M.B., Carroll, J.M. & Sinha, H. "Orientation of undergraduates toward careers in the Computer and Information Sciences: Gender, self-efficacy and social support." ACM Transactions on Computing Education, 11, 3 (2011): Article 14.

Digital Library

Google Scholar

[35]

Shaffer, S. "Data partitioning, code inspections and pathological programs." Software Quality, Summer, 2000.

Google Scholar

[36]

Shaffer, S. "Ludwig: An online programming tutoring and assessment system." Inroads: The official quarterly publication of the ACM special interest group on computer science education. June, 2005.

Digital Library

Google Scholar

[37]

Shaffer, S. Toward a system dynamics model of teaching computer programming via distance education. Ph.D. Dissertation, College of Education, Pennsylvania State University, 2006.

Digital Library

Google Scholar

[38]

Tew, A. E., and Guzdial, M. "Developing a validated assessment of fundamental CS1 concepts." Proceedings of SIGCSE '10 (New York: ACM Press, 2010): 97--101.

Digital Library

Google Scholar

[39]

Woit, D. and Mason, D. 2003. "Effectiveness of online assessment." Proceedings of SIGCSE '03 (New York: ACM Press, 2003): 137--141).

Digital Library

Google Scholar

[40]

Zachary, J. and Jensen, P. "Exploiting value-added content in an online course: Introducing programming concepts via HTML and JavaScript." Proceedings of SIGCSE '03, (New York: ACM Press, 2003).

Digital Library

Google Scholar

Cited By

View all

Buraphadeja VSrisarkun V(2024)Mastery learning in CS1: a longitudinal study during and post-pandemicDiscover Education10.1007/s44217-024-00361-x3:1Online publication date: 2-Dec-2024
https://doi.org/10.1007/s44217-024-00361-x
Niemelä PHukkanen JNurminen MHuhtamäki J(2024)Encouraging Grading: Per Aspera Ad A-StarsComputer Supported Education10.1007/978-3-031-53656-4_2(23-46)Online publication date: 15-Feb-2024
https://doi.org/10.1007/978-3-031-53656-4_2
Lionelle AGhosh SMoraes MWinick TNielsen LDoyle MStephenson BDorn BSoh LBattestilli L(2023)A Flexible Formative/Summative Grading System for Large CoursesProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569810(624-630)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3545945.3569810
Show More Cited By

Index Terms

Increasing student success by modifying course delivery based on student submission data
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
2. Software and its engineering
  1. Software creation and management
    1. Software development techniques

Recommendations

Classroom interventions to reduce failure & course withdrawal in CS1 (abstract only)
SIGCSE '13: Proceeding of the 44th ACM technical symposium on Computer science education

This poster reports on a set of classroom interventions at a public urban university to reduce the failure and withdrawal rate in CS1. Though unsuccessful in their original goal of reducing the number of students withdrawing from the course or receiving ...
Student success: a study of computer-based instruction versus lecture-based instruction in developmental mathematics at a tennessee community college
Creating Co-curricular Programs to Improve CS Student Identity and Sense of Belonging
SIGCSE '19: Proceedings of the 50th ACM Technical Symposium on Computer Science Education

In 2016, Georgia Perimeter College consolidated with Georgia State University. The new Georgia State University with a student population of over 51,000 has become a national model in serving students from diverse backgrounds. Perimeter College is the 2-...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ACM Inroads Volume 4, Issue 4

December 2013

83 pages

ISSN:2153-2184

EISSN:2153-2192

DOI:10.1145/2537753

Editor:
John Impagliazzo
Emeritus, Hofstra University

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2013

Published in INROADS Volume 4, Issue 4

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Popular
Refereed

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

12
Total Citations
View Citations
484
Total Downloads

Downloads (Last 12 months)16
Downloads (Last 6 weeks)1

Reflects downloads up to 14 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Buraphadeja VSrisarkun V(2024)Mastery learning in CS1: a longitudinal study during and post-pandemicDiscover Education10.1007/s44217-024-00361-x3:1Online publication date: 2-Dec-2024
https://doi.org/10.1007/s44217-024-00361-x
Niemelä PHukkanen JNurminen MHuhtamäki J(2024)Encouraging Grading: Per Aspera Ad A-StarsComputer Supported Education10.1007/978-3-031-53656-4_2(23-46)Online publication date: 15-Feb-2024
https://doi.org/10.1007/978-3-031-53656-4_2
Lionelle AGhosh SMoraes MWinick TNielsen LDoyle MStephenson BDorn BSoh LBattestilli L(2023)A Flexible Formative/Summative Grading System for Large CoursesProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569810(624-630)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3545945.3569810
Bridson KFleming SSherriff MMerkle LCutter PMonge ASheard J(2021)Frequent, Timed Coding Tests for Training and Assessment of Full-Stack Web Development SkillsProceedings of the 52nd ACM Technical Symposium on Computer Science Education10.1145/3408877.3432549(24-30)Online publication date: 3-Mar-2021
https://dl.acm.org/doi/10.1145/3408877.3432549
Perig AZavdoveev ASkyrtach VKovalov OArnout BUskoković VGavrish PHanevych OSharapaniuk BKostikov ASubotin O(2020)Materials extrusion-inspired engineering reflection of social pressure-induced environmental impact on academy community well-beingWork10.3233/WOR-203301(1-20)Online publication date: 30-Oct-2020
https://doi.org/10.3233/WOR-203301
Garner JDenny PLuxton-Reilly ASimon Luxton-Reilly A(2019)Mastery Learning in Computer Science EducationProceedings of the Twenty-First Australasian Computing Education Conference10.1145/3286960.3286965(37-46)Online publication date: 29-Jan-2019
https://dl.acm.org/doi/10.1145/3286960.3286965
Medeiros RRamalho GFalcão T(2019)A Systematic Literature Review on Teaching and Learning Introductory Programming in Higher EducationIEEE Transactions on Education10.1109/TE.2018.286413362:2(77-90)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1109/TE.2018.2864133
Luxton-Reilly ASimon Albluwi IBecker BGiannakos MKumar AOtt LPaterson JScott MSheard JSzabo CRößling GScharlau B(2018)Introductory programming: a systematic literature reviewProceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education10.1145/3293881.3295779(55-106)Online publication date: 2-Jul-2018
https://dl.acm.org/doi/10.1145/3293881.3295779
Vahldick AMarcelino MMendes A(2017)Principles of a Casual Serious Game to Support Introductory Programming Learning in Higher EducationGamification-Based E-Learning Strategies for Computer Programming Education10.4018/978-1-5225-1034-5.ch004(53-78)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-1034-5.ch004
Buitrago Flórez FCasallas RHernández MReyes ARestrepo SDanies G(2017)Changing a Generation’s Way of Thinking: Teaching Computational Thinking Through ProgrammingReview of Educational Research10.3102/003465431771009687:4(834-860)Online publication date: 23-May-2017
https://doi.org/10.3102/0034654317710096
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Digital Edition

View this article in digital edition.

Digital Edition

Magazine Site

View this article on the magazine site (external)

Magazine Site

References

Cited By

Index Terms

Recommendations

Classroom interventions to reduce failure & course withdrawal in CS1 (abstract only)

Student success: a study of computer-based instruction versus lecture-based instruction in developmental mathematics at a tennessee community college

Creating Co-curricular Programs to Improve CS Student Identity and Sense of Belonging

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Digital Edition

Magazine Site

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations