Meta-Analysis of the Effectiveness of MyMathLab in College Algebra (Poster 34)

• In Event: Thursday Poster Session 10:50 am
  In Poster Session: Research Syntheses and Meta-Analyses in Education: Exemplar Studies and Methodological Guidance

Abstract

College algebra is a gatekeeper course for attaining degrees and higher-paying jobs. Computer-assisted instruction (CAI) programs such as MyMathLab (MML) may help close the achievement gap among college algebra students. The purpose of this study was to conduct a meta-analysis to determine the overall effectiveness of MML among college algebra students. The data pooled from a total of (k=7) quasi-experimental primary studies that summarized the mean effect sizes using Hedge’s g in a forest plot was based on the random-effects model. The results of this meta-analysis yielded a significant effect (g=0.201,p=0.037, 95% CI [0.012 to 0.390]) favoring MML over traditional instruction among college algebra students with a low amount of heterogeneity in true outcomes detected (Q=9.392,p=0.153,tau^2=0.020,I^2=31.130%).

Authors

• Michael Wang, Coastal Bend College

• Kelly S. Hall, Texas A&M University - Kingsville

• Lori Kupczynski, Texas A&M University - Kingsville

• Daniella G. Varela, Texas A&M University - Kingsville