IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Assessing the Effectiveness of the Augmented Reality Courseware for Starry Sky Exploration

Assessing the Effectiveness of the Augmented Reality Courseware for Starry Sky Exploration
View Sample PDF
Author(s): Jun Xiao (Shanghai Open University, Shanghai, China), Mengying Cao (Shanghai Open University, Shanghai, China), Xuejiao Li (East China University of Technology, Shanghai, China)and Preben Hansen (Department of Computer and Systems Science, Stockholm University, Stockholm, Sweden)
Copyright: 2020
Volume: 18
Issue: 1
Pages: 17
Source title: International Journal of Distance Education Technologies (IJDET)
Editor(s)-in-Chief: Maiga Chang (Athabasca University, Canada)
DOI: 10.4018/IJDET.2020010102

Purchase

View Assessing the Effectiveness of the Augmented Reality Courseware for Starry Sky Exploration on the publisher's website for pricing and purchasing information.

Abstract

Augmented reality tools and applications have been shown to have powerfully impelled the development of the field of education. In this article, the authors designed and developed an augmented reality technology-based courseware “Starry Sky Exploration—Eight Planets in the Solar System” and explored how AR can bring an immersive learning experience to students and improve students' learning effectiveness. This article presents and evaluates AR courseware applicable for the geography curriculum in secondary schools in China. In this study, 36 students from Shanghai secondary vocational school were invited to participate in the experiment, the authors use reliability analysis, regression analysis and brainwave analysis to evaluate the effectiveness of the AR course. The authors found that students have higher learning satisfaction and behavioral willingness in AR-based experiential learning activities. It can be seen that AR helps to stimulate students' interest in learning.

Related Content

Xinhua Wang, Yue Zheng, Lei Wu. © 2024. 18 pages.
Mohammed Abdullatif Almulla. © 2024. 26 pages.
Ahmed Abdulateef Al Khateeb, Tahani I. Aldosemani, Sumayah Abu-Dawood, Sameera Algarni. © 2024. 16 pages.
XiFeng Liao. © 2024. 19 pages.
Min Zhang. © 2024. 17 pages.
Shaobin Chen, Qingrong Li, Tao Wang. © 2024. 22 pages.
Kyosuke Takami, Brendan Flanagan, Yiling Dai, Hiroaki Ogata. © 2024. 23 pages.
Body Bottom