Digital Game-Based STEM Learning: A Comprehensive Meta-Analysis (Poster 35)

• In Event: AERA Poster Session Nine
  In Poster Session: Learning With Games and Virtual Reality

Abstract

The current study aimed to investigate (1) the overall effectiveness of digital game-based (DGB) STEM learning, and (2) the enhancement effect of added game-design elements in STEM learning. We performed two meta-analyses using three-level meta-analysis model. An overall medium effect size in first meta-analysis for the studies of “media comparison research” (g = 0.624, 95% CI [0.457, 0.790]), and an overall small effect size in second meta-analysis for the studies of “value-added research” were reported (g = 0.301, 95%CI [0.163, 0.438]). In addition, the moderator analysis revealed that three types of moderators significantly affected the overall effect in first meta-analysis, and two types of added game-design elements showed different enhancement effects in value-added studies.

Authors

• Yang Gui
  Presenting Author

• Zhihui Cai, Central China Normal University
  Presenting Author

• Jinbo He, The Chinese University of Hong Kong
  Presenting Author

• Xinjie Chen, Chinese University of Hong Kong
  Non-Presenting Author

• Xitao Fan, The Chinese University of Hong Kong
  Presenting Author