Foreign Language Department, Bengbu Medical College, Bengbu 233000, China.
Scientific Research Center, Bengbu Medical College, Bengbu 233000, China.
Comput Intell Neurosci. 2022 Jun 14;2022:7068923. doi: 10.1155/2022/7068923. eCollection 2022.
This study expects to solve the network delay in college English online teaching, prevent disrupting the normal teaching order of college English classroom caused by network problems, increase college students' interest in learning English, and improve the time spent by college students in English learning. First, the study investigates and analyzes the current needs and situation of college English online learning and puts forward the improvement standards for college English online classroom. Second, the study applies edge computing (EC) technology to improve online teaching system and designs an online learning system for college specific English based on EC. Finally, the improvement effect is tested, and it is concluded that the effect of using EC to improve the online classroom system for college English is better than that of the unmodified online teaching system. The results reveal that the online classroom system for college English based on EC designed can effectively reduce the network delay of the traditional teaching system, ensure a high reliability, and increase the time for students to learn English, so it is helpful to improve the teaching quality. The results provide a new direction for applying emerging computer technology in online teaching in colleges and universities, a guarantee for improving college students' English level, and set an example for the relevant research in the future.
本研究旨在解决高校英语在线教学中的网络延迟问题,防止网络问题扰乱高校英语课堂的正常教学秩序,提高大学生学习英语的兴趣,增加大学生学习英语的时间。首先,研究调查和分析了高校英语在线学习的现状和需求,提出了高校英语在线课堂的改进标准。其次,研究将边缘计算(EC)技术应用于改进在线教学系统,并设计了基于 EC 的高校专用英语在线学习系统。最后,测试了改进效果,得出使用 EC 改进高校英语在线课堂系统的效果优于未经改进的在线教学系统的结论。结果表明,基于 EC 设计的高校英语在线课堂系统可以有效降低传统教学系统的网络延迟,保证高可靠性,增加学生学习英语的时间,有助于提高教学质量。该研究结果为高校新兴计算机技术在在线教学中的应用提供了新方向,为提高大学生英语水平提供了保障,为未来相关研究树立了榜样。