The Impact of Pair Programming on College Students’ Interest, Perceptions, and Achievement in Computer Science

Author:

Bowman Nicholas A.1ORCID,Jarratt Lindsay1,Culver KC2,Segre Alberto M.3

Affiliation:

1. Department of Educational Policy and Leadership Studies, University of Iowa, Iowa City, IA, USA

2. Pullias Center for Higher Education, University of Southern California, Los Angeles, CA, USA

3. Department of Computer Science, University of Iowa, Iowa City, IA, USA

Abstract

Active and collaborative learning has shown considerable promise for improving student outcomes and reducing group disparities. As one common form of collaborative learning, pair programming is an adapted work practice implemented widely in higher education computing programs. In the classroom setting, it typically involves two computer science students working together on the same programming assignment. The present study examined a cluster-randomized trial of 1,198 undergraduates in 96 lab sections. Overall, pair programming had no significant effect on students’ course performance; subject matter interest; plans for future coursework; or their confidence, comfort, and anxiety with computer science. These findings were consistent across various student characteristics, except that students with favorable pretest scores exhibited negative effects from pair programming.

Publisher

Association for Computing Machinery (ACM)

Subject

Education,General Computer Science

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploring the Use of Unplugged Gamification on Programming Learners’ Experience;ACM Transactions on Computing Education;2024-08-02

2. A Quantitative Methodological Review of Research on Broadening Participation in Computing, 2005-2022;Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1;2024-03-07

3. Collaborative dialogue patterns of pair programming and their impact on programming self‐efficacy and coding performance;British Journal of Educational Technology;2023-12-08

4. Active Learning Methodologies for Teaching Programming in Undergraduate Courses: A Systematic Mapping Study;Informatics in Education;2023-09-27

5. How Do Computing Education Researchers Talk About Threats and Limitations?;Proceedings of the 2023 ACM Conference on International Computing Education Research V.1;2023-08-07

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