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The Effectiveness of Educational Robots in Improving Learning Outcomes: A Meta-Analysis

Author

Listed:
  • Kai Wang

    (Center for Teacher Education Research, Faculty of Education, Beijing Normal University, Beijing 100875, China
    These authors contributed equally to this work.)

  • Guo-Yuan Sang

    (Center for Teacher Education Research, Faculty of Education, Beijing Normal University, Beijing 100875, China
    These authors contributed equally to this work.)

  • Lan-Zi Huang

    (Center for Teacher Education Research, Faculty of Education, Beijing Normal University, Beijing 100875, China
    School of Education, Hunan First Normal University, Changsha 410205, China)

  • Shi-Hua Li

    (College English Teaching Department, Xidian University, Xi’an 710126, China)

  • Jian-Wen Guo

    (Center for Teacher Education Research, Faculty of Education, Beijing Normal University, Beijing 100875, China)

Abstract

Numerous studies have been conducted to investigate the potential effect of educational robots, but what appears to be missing is an up-to-date and thorough review of the learning effectiveness of educational robots and the various influencing factors. In this study, a meta-analysis was conducted to systematically synthesize studies’ findings on the effects of educational robots on students’ learning outcomes. After searching for randomized studies describing educational robots interventions to improve learning outcomes, 34 effect sizes described in 17 articles met the selection criteria. The results of our work evidence a moderate but significantly positive effect of educational robots on learning outcomes ( g = 0.57, 95% CI [0.49, 0.65], p < 0.00001). Moreover, moderator analyses were conducted to investigate important factors relating to the variation of the impact, including educational level and assessment type. Based on the findings of this study, we provide researchers and practitioners with insights into what characteristics of educational robot interventions appear to benefit students’ learning outcomes and how pedagogical approaches can be applied in various educational settings to guide the design of future educational robot interventions.

Suggested Citation

  • Kai Wang & Guo-Yuan Sang & Lan-Zi Huang & Shi-Hua Li & Jian-Wen Guo, 2023. "The Effectiveness of Educational Robots in Improving Learning Outcomes: A Meta-Analysis," Sustainability, MDPI, vol. 15(5), pages 1-16, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4637-:d:1088465
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    References listed on IDEAS

    as
    1. Ilkka Tuomi, 2018. "The Impact of Artificial Intelligence on Learning, Teaching, and Education," JRC Research Reports JRC113226, Joint Research Centre.
    2. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
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