Paper Title:
A Meta-Analysis of Pair-Programming in Computer Programming Courses: Implications for Educational Practice.
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 49 separate effect sizes in the domains of programming assignments, exams, retention, and affective measures. In total, our sample accounts for N=3308 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 across all four of the domains. We provide a comprehensive review of our results, and discuss our findings.
Authors:
Karthikeyan Umapathy and Albert D. Ritzhaupt
Conference:
2017 ACM SIGCSE Technical Symposium, Seattle, WA, USA
Date:
March 9, 2017
Link to Presentation:
https://prezi.com/xm3fn3ctzm1k/a-meta-analysis-of-pair-programming-in-computer-programming/