A meta-analysis of pair-programming in computer programming courses: Implications for educational practice
Document Type
Article
Publication Date
8-1-2017
Abstract
Several experiments on the effects of pair programming versus solo programming in the context of education have been reported in the research literature. We present a meta-Analysis of these studies that accounted for 18 manuscripts with 28 independent effect sizes in the domains of programming assignments, exams, passing rates, and affective measures. In total, our sample accounts for N = 3,308 students either using pair programming as a treatment variable or using traditional solo programming in the context of a computing course. Our findings suggest positive results in favor of pair programming in three of four domains with exception to affective measures. We provide a comprehensive review of our results and discuss our findings.
Publication Title
ACM Transactions on Computing Education
Volume
17
Issue
4
Digital Object Identifier (DOI)
10.1145/2996201
E-ISSN
19466226
Citation Information
Umapathy, & Ritzhaupt, A. (2017). A Meta-Analysis of Pair-Programming in Computer Programming Courses: Implications for Educational Practice. ACM Transactions on Computing Education, 17(4), 1–13. https://doi.org/10.1145/2996201