Ten years of augmented reality in education: A meta-analysis of (quasi-) experimental studies to investigate the impact

Hsin Yi Chang*, Theerapong Binali, Jyh Chong Liang, Guo Li Chiou, Kun Hung Cheng, Silvia Wen Yu Lee, Chin Chung Tsai*

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

56 引文 斯高帕斯(Scopus)

摘要

Augmented reality (AR) continues to show its impact in education. While systematic review and meta-analysis studies have synthesized the evidence of this impact, most of them did not differentiate how AR may foster various learning outcomes to different degrees. In this study, 134 (quasi-)experimental studies on augmented reality (AR) in education from 2012 to 2021 were reviewed to discern the impact of AR on three levels of learning outcomes, namely response, knowledge and skill, and performance. The 134 studies are the data of this study for meta-analysis, which were obtained following the procedure of the Preferred Reporting Items for Systematic reviews and Meta-Analysis. Moreover, meta-regression was employed to investigate important factors relating to the variation of the impact, including educational level, subject area, treatment duration, and AR affordance. Findings from the meta-analysis suggest that AR technology has benefited all three learning outcomes, with a larger mean effect size on the outcome of performance. Furthermore, the meta-regression results indicate treatment duration as a significant factor likely relating to the variation in the impact of AR in education. Moreover, AR used to support the learning of languages or social studies is likely associated with higher positive learner responses such as learning motivation or attitude than AR used for science learning. The meta-regression result indicated that use of 3-D visualization in AR needs to be carefully designed and evaluated. The implications of using AR to support learning, the design of AR learning environments, and the future direction of research are discussed.

原文英語
文章編號104641
期刊Computers and Education
191
DOIs
出版狀態已發佈 - 2022 12月

ASJC Scopus subject areas

  • 一般電腦科學
  • 教育

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