摘要
针对现有英语教学质量评价方法存在费事、费力的缺点,将属性数学理论引入英语教学质量评价,设计教学质量的单个指标和多个指标评价指标,提出一种基于人机交互的FOA-BP的英语教学质量评价方法。选择RMSE和MAPE作为评价指标,研究结果表明,FOA-BP的英语教学质量评价效果较好优于BP的评价结果,效果较好,从而验证了FOA-BP进行英语教学质量评价的有效性和可靠性。
Aiming at the shortcomings of the existing methods of quality evaluation of English teaching, this paper introduces the theory of attribute mathematics into the quality evaluation of English teaching, and designs the single index and multiple index evaluation indexes of teaching quality. This paper proposes a method for quality evaluation of English teaching based on human-computer interaction FOA-BP. The results show that FOA-BP's English teaching quality evaluation results are better than those of BP, which proves the validity and reliability of FOA-BP's English teaching quality evaluation.
作者
王瑛瑛
Wang Yingying(Shaanxi Institute of Labor and Transportation, Xi'an, Shaanxi 710003, China)
出处
《现代科学仪器》
2019年第1期172-175,共4页
Modern Scientific Instruments
关键词
BP神经网络
果蝇优化算法
人机交互
教学质量
专家评分法
BP neural network
Fruit Flying optimization algorithm
Human-computer interaction
Quality of teaching
Expert scoring method