Blended English Teaching Model in Higher Education School Environment AR Constructive Technology

IF 0.7 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Gaming and Computer-Mediated Simulations Pub Date : 2023-11-28 DOI:10.4018/ijgcms.334121
Jing Yang, Lei Bu
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引用次数: 0

Abstract

China's education modernization requirements clearly suggest exploring new teaching methods to improve teaching effectiveness. Based on this, this article investigates AR construction technology as a blended English teaching model in the university school environment. Mobile terminals are used to build the blended English teaching model, modeling tools are used to achieve split modeling, and the mobile terminals themselves are used to achieve the management and network synchronization work for the cloud classroom. For the gesture recognition model construction, 3D convolutional neural networks are used to separate and optimize the parameters. Finally, experiments are designed to simulate and analyze the AR construct of the blended English teaching model to determine accuracy. The simulation results show that the model can realize the simultaneous display of teacher explanation, and the improved algorithm of gesture recognition is improved in recognition rate, which can improve the effectiveness of blended English teaching.
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高校环境下的混合式英语教学模式 AR 构建技术
中国教育现代化的要求明确提出要探索新的教学方法,提高教学效果。基于此,本文研究了AR构建技术在大学学校环境下的混合式英语教学模式。利用移动终端构建混合式英语教学模式,利用建模工具实现拆分建模,利用移动终端本身实现云课堂的管理和网络同步工作。在手势识别模型的构建上,采用三维卷积神经网络对参数进行分离和优化。最后,设计了实验来模拟和分析混合式英语教学模式的 AR 构建,以确定其准确性。仿真结果表明,该模型可以实现教师讲解的同步显示,改进后的手势识别算法提高了识别率,可以提高混合式英语教学的效果。
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来源期刊
International Journal of Gaming and Computer-Mediated Simulations
International Journal of Gaming and Computer-Mediated Simulations COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.80
自引率
0.00%
发文量
11
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