Exploring the Effects of Learning Analytics Dashboards on Learning Outcomes: A Meta-Analysis

• In Event: Sheraton Roundtable Session Nine
  In Roundtable Session: Computer and Internet Applications in Education SIG Topics: Research Synthesis (Table 9)

Abstract

This meta-analysis examined the effects of learning analytics dashboards on students’ learning outcomes. Using the generalized least squares estimation (GLS) technique to pooled effect size from 15 studies, the overall effect size was significant (g = 0.15, p < 0.05), suggesting that the learning analytics dashboard contributed to learning outcomes. Moderator analyses using a mixed-effects meta-regression model were conducted to examine if the variables impact the effectiveness of the learning analytics dashboard. The results showed that none of the moderator variables were found to be significant. The findings indicate that the design and research of the learning analytics dashboard are still in the preliminary stage. Further research directions are discussed in this study.

Authors

• Peixia Shao, University of Texas at Austin
  Presenting Author

• Ying Cai, University of Texas at Austin
  Presenting Author

• Zilong Pan, Lehigh University
  Presenting Author

• Songhee Han, University of Texas at Austin
  Presenting Author

• Min Liu, University of Texas at Austin
  Presenting Author