research-article

Designing Intentional Bugs for Learning

Author:

Jean M. GriffinAuthors Info & Claims

UKICER '19: Proceedings of the 2019 Conference on United Kingdom & Ireland Computing Education Research

Article No.: 5, Pages 1 - 7

https://doi.org/10.1145/3351287.3351289

Published: 05 September 2019 Publication History

Abstract

There is general agreement that people can learn from their own mistakes, but the idea of intentionally incorporating errors into curricula is controversial. Some think it will introduce misconceptions, while others think it could help students learn concepts, avoid common errors and misconceptions, and reduce anxiety about errors. This paper develops a theoretical framework that supports this technique, and reviews the experiences and experiments of over a dozen research teams that have employed it for mathematics and computer science education. It also reports on a 14-week study that investigates this issue, where undergraduates learning to program with Python solved web-based practice problems during weekly labs. Approximately 80% of the problems were the same for all students. For the remaining 20%, the treatment group got problems with carefully designed bugs in supplied code. The control group got similar problems without bugs. According to two pre/post measures, the treatment group learned as much as the control group, with no statistical difference in learning gains. Instructional designs, design principles, and future research plans are discussed.

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Cited By

Muldner KJennings JChiarelli V(2022)A Review of Worked Examples in Programming ActivitiesACM Transactions on Computing Education10.1145/356026623:1(1-35)Online publication date: 29-Dec-2022
https://dl.acm.org/doi/10.1145/3560266
Paredes YHsiao I(2021)Can Students Learn from Grading Erroneous Computer Programs?2021 International Conference on Advanced Learning Technologies (ICALT)10.1109/ICALT52272.2021.00070(211-215)Online publication date: Jul-2021
https://doi.org/10.1109/ICALT52272.2021.00070

Index Terms

Designing Intentional Bugs for Learning
1. Applied computing
  1. Education
    1. E-learning
2. Social and professional topics
  1. Professional topics
    1. Computing education

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cover image ACM Other conferences

UKICER '19: Proceedings of the 2019 Conference on United Kingdom & Ireland Computing Education Research

September 2019

81 pages

ISBN:9781450372572

DOI:10.1145/3351287

Conference Chair:
Janet Carter
University of Kent
,
Program Chairs:
Brett A. Becker
University College Dublin
,
Neil C. C. Brown
King's College London

Copyright © 2019 ACM.

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Published: 05 September 2019

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UKICER: UK & Ireland Computing Education Research Conference

September 5 - 6, 2019

Canterbury, United Kingdom

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Cited By

Muldner KJennings JChiarelli V(2022)A Review of Worked Examples in Programming ActivitiesACM Transactions on Computing Education10.1145/356026623:1(1-35)Online publication date: 29-Dec-2022
https://dl.acm.org/doi/10.1145/3560266
Paredes YHsiao I(2021)Can Students Learn from Grading Erroneous Computer Programs?2021 International Conference on Advanced Learning Technologies (ICALT)10.1109/ICALT52272.2021.00070(211-215)Online publication date: Jul-2021
https://doi.org/10.1109/ICALT52272.2021.00070

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