基于 VR 动画运动规律课程的混合式教学实践与探索

IF 3.1 Q1 Mathematics Applied Mathematics and Nonlinear Sciences Pub Date : 2024-01-01 DOI:10.2478/amns-2024-0418
Jiansong Zhao, Intan Khasumarlina binti Mohd Khalid, Fangfang Wan, Pingfei Zhang
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引用次数: 0

摘要

本研究探索了虚拟现实技术与传统离线混合教学模式在《动画运动规律》专业课程中的应用。通过改进的 ORB 算法,本文有效地结合了 BRIEF 和 ORB 图像特征与匹配算法,优化了图像特征的捕捉和匹配。研究中选取了某校动画专业的两个班级进行实验,通过半期测试、前后试题分析、问卷调查等方式比较了两种教学模式的效果。结果表明,经过 VR 动画技术辅助教学后,学生的接受能力和情感态度明显提高,实验班学生较好地掌握了动画运动课程中的六种运动方法,高质量地完成了动画设计任务。在动画造型课程中,实验班低质量作品比例仅为4%,教学效果明显。本文的研究为虚拟现实技术在动画教学中的应用提供了实证支持。它证明了虚拟现实技术与传统教学相结合在提高教学效果方面的潜力。
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Practice and Exploration of Blended Teaching Based on VR Animation Laws of Motion Course
This study explores the application of virtual reality technology and traditional offline hybrid teaching mode for the specialized course “Animation Laws of Motion”. Through the improved ORB algorithm, this paper effectively combines the BRIEF and ORB image feature and matching algorithms to optimize capturing and matching image features. Two classes of animation majors in a school were selected for experiments in the study, and the effects of the two teaching modes were compared through half-term tests, pre- and post-test question analyses, and questionnaire surveys. The results show that after the teaching assisted by VR animation technology, students’ acceptance and emotional attitudes are significantly improved, and the students in the experimental class better mastered the six motion methods in the animation motion course and completed the animation design tasks with high quality. In the animation modeling course, the proportion of low-quality works in the experimental class is only 4%, showing significant teaching effects. The Research in this paper provides empirical support for the application of virtual reality technology in animation education. It demonstrates the potential of combining VR technology with traditional teaching in enhancing teaching effectiveness.
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来源期刊
Applied Mathematics and Nonlinear Sciences
Applied Mathematics and Nonlinear Sciences Engineering-Engineering (miscellaneous)
CiteScore
2.90
自引率
25.80%
发文量
203
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