Gu Chao, Sun Jie, Chen Tong, Miao Wei, Yang Yunshuo, Lin Shuyuan, Chen Jiangjie
Department of Culture and Arts Management, Honam University, Gwangju 62399, Korea.
Michael Smurfit Graduate Business School, University College Dublin, D04 V1W8 Dublin, Ireland.
J Intell. 2022 Jul 5;10(3):40. doi: 10.3390/jintelligence10030040.
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.
在虚拟绘景的教学过程中,让学生深入理解虚拟环境与物理环境之间的关系至关重要。在本研究中,将第一人称视角(FPV)无人机应用于虚拟绘景课程,以评估教学效果,并针对更适合教学的FPV无人机提出更有效的设计建议。这借助数字教育系统为学生提供了更好的学习环境。研究结果表明,在虚拟绘景中使用FPV无人机的学生的流畅体验、学习兴趣和持续学习意愿显著高于仅采用传统教学方法的学生。此外,本研究在经过结构方程模型验证后开发了技术激励模型(TIM)。结果表明,由感知交互性、感知生动性和新颖体验构成的二阶构念“技术激励”在流畅体验的中介作用下对学生的学习兴趣和持续学习意愿产生积极影响。