A Meta-Analysis On e-Learning Effectiveness in Higher Education

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  • SAITO Takahiro
    National Institution for Academic Degrees and University Evaluation
  • KIM SoungHee
    Graduate School of Decision Science and Technology, Tokyo Institute of Technology

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  • 高等教育におけるe-Learningの効果に関するメタ分析
  • コウトウ キョウイク ニ オケル e Learning ノ コウカ ニ カンスル メタ ブンセキ

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E-Learning has been widely used in higher education and a lot of e-Learning studies have been brought out. Those study results in Japan, however, were neither noticed nor utilized sufficiently among practitioners and even among scientists. In this study, we collected and comprehensively analyzed the findings in those e-Learning studies in higher education during the past 12 years. 136 studies were located from source of six journals. Just twenty-four studies of them were included in the meta-analysis. The overall mean of the effect size was 0.420, which suggests that e-Learning is more effective than traditional face-to-face learning. Furthermore, multiple regression analysis was performed to identify factors that influence effect size. As the result of analysis; it should be noted that higher motivation and low level of media involvement are effective on effect size for e-Learning. Moreover, the result of analysis indicated that experimental design is effective factor on effect size. It means that pre-post test design is more effective than control-experimental group design.

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