論文

査読有り
2014年1月

Augmented Reality Learning Experiences: Survey of Prototype Design and Evaluation

IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES
  • Marc Ericson C. Santos
  • ,
  • Angie Chen
  • ,
  • Takafumi Taketomi
  • ,
  • Goshiro Yamamoto
  • ,
  • Jun Miyazaki
  • ,
  • Hirokazu Kato

7
1
開始ページ
38
終了ページ
56
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1109/TLT.2013.37
出版者・発行元
IEEE COMPUTER SOC

Augmented reality (AR) technology is mature for creating learning experiences for K-12 (pre-school, grade school, and high school) educational settings. We reviewed the applications intended to complement traditional curriculum materials for K-12. We found 87 research articles on augmented reality learning experiences (ARLEs) in the IEEE Xplore Digital Library and other learning technology publications. Forty-three of these articles conducted user studies, and seven allowed the computation of an effect size to the performance of students in a test. In our meta-analysis, research show that ARLEs achieved a widely variable effect on student performance from a small negative effect to a large effect, with a mean effect size of 0.56 or moderate effect. To complement this finding, we performed a qualitative analysis on the design aspects for ARLEs: display hardware, software libraries, content authoring solutions, and evaluation techniques. We explain that AR incur three inherent advantages: real world annotation, contextual visualization, and vision-haptic visualization. We illustrate these advantages through the exemplifying prototypes, and ground these advantages to multimedia learning theory, experiential learning theory, and animate vision theory. Insights from this review are aimed to inform the design of future ARLEs.

リンク情報
DOI
https://doi.org/10.1109/TLT.2013.37
DBLP
https://dblp.uni-trier.de/rec/journals/tlt/SantosCTYMK14
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000336798400005&DestApp=WOS_CPL
URL
http://dblp.uni-trier.de/db/journals/tlt/tlt7.html#journals/tlt/SantosCTYMK14
URL
http://doi.ieeecomputersociety.org/10.1109/TLT.2013.37
ID情報
  • DOI : 10.1109/TLT.2013.37
  • ISSN : 1939-1382
  • DBLP ID : journals/tlt/SantosCTYMK14
  • Web of Science ID : WOS:000336798400005

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