Yunshuo Yang

Dr. Yunshuo Yang


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 February 2022 in Journal of Intelligence
Verified
Journal Article
Open access
PDF file
Chao GuChao Gu
Chao Gu
Jiangjie ChenJiangjie Chen
Jiangjie Chen
Chun YangChun Yang
Chun Yang
Wei WeiWei Wei
Wei Wei
Qianling JiangQianling Jiang
Qianling Jiang
YYYunshuo Yang
Yunshuo Yang
In this paper, we discuss the teaching effects of augmented reality (AR) technology in German instruction. We conducted one prestudy and three formal studies on German learners in China’s mainland and Taiwan region. In the formal studies, a total of 120 students participated in the survey, allowing us to compare the differences in interest in learning between AR picture books and traditional picture books. A total of 114 students took part in the survey, which enabled us to compare the contribution of AR picture books to teaching when students’ satisfaction and German proficiency were different. To improve satisfaction, 514 students participated in the survey regarding the influence of the interactive narrative design effect and peer learning on satisfaction with using AR picture books. The results suggest that when learning German with AR picture books, satisfaction is the key construct that determines students’ learning states.
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5 July 2022 in Journal of Intelligence
Verified
Journal Article
Open access
PDF file
Chao GuChao Gu
Chao Gu
Jie SunJie Sun
Jie Sun
TCTong Chen
Tong Chen
Wei MiaoWei Miao
Wei Miao
YYYunshuo Yang
Yunshuo Yang
Jiangjie ChenJiangjie Chen
Jiangjie Chen
In terms of the teaching process of matte painting, it is essential for students to develop a sound understanding of the relationship between virtual and physical environments. In this study, first-person view (FPV) drones are applied to matte painting courses to evaluate the effectiveness of the teaching, and to propose more effective design suggestions for FPV drones that are more suitable for teaching. This provides students with a better learning environment using a digital education system. The results of the study indicate that the flow experience, learning interest, and continuous learning intention of students who use FPV drones in matte painting are significantly greater than those of students who only utilize traditional teaching methods. Furthermore, the technology incentive model (TIM) was developed in this study after being verified by the structural equation model. The results demonstrate that the second-order construct ‘technology incentive’ comprising perceived interactivity, perceived vividness, and novel experience positively influence students’ learning interest and continuous learning intentions under the mediation of flow experience.
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