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Marc Ericson C. Santos , Nara Institute of Science and Technology, Ikoma
Angie Chen , Nara Institute of Science and Technology, Ikoma
Takafumi Taketomi , Nara Institute of Science and Technology, Ikoma
Goshiro Yamamoto , Nara Institute of Science and Technology, Ikoma
Jun Miyazaki , Tokyo Institute of Technology, Tokyo
Hirokazu Kato , Nara Institute of Science and Technology, Ikoma
ABSTRACT
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.
INDEX TERMS
prototyping, augmented reality learning experience, evaluation method, learning theory, meta-analysis
CITATION
Marc Ericson C. Santos, Angie Chen, Takafumi Taketomi, Goshiro Yamamoto, Jun Miyazaki, Hirokazu Kato, "Augmented Reality Learning Experiences: Survey of Prototype Design and Evaluation", IEEE Transactions on Learning Technologies, , no. 1, pp. 1, PrePrints PrePrints, doi:10.1109/TLT.2013.37
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