摘要
反馈式教学能有效地提高教学的效果,考试作为常用的反馈手段具有一定的时间延迟性,教师无法即时地做出调整以达到预期的教学效果。如何找到一种有效的即时反馈方法成为教学工作者研究的内容。深度学习技术近年来得到了大力的发展。文章中介绍了将人工智能技术应用于即时反馈教学中的一种方法,通过摄像头成像,统计分析学生的听课效果,即时显示学生认真听课人数的比例,供教师即时地掌握课堂听课状况,为行为提供参考。对比实验的结果表明,该方法能在不增加附加教学成本的同时,有效地提升课堂的教学质量。
Feedback teaching can effectively improve the teaching effect,examination as a commonly used feedback means has a certain time delay,teachers can not make immediate adjustments to achieve the desired teaching effect.How to find an effective immediate feedback method has become the research content of teaching workers.In recent years,deep learning technology has been vigorously developed.This paper introduces a method of applying artificial intelligence technology to real-time feedback teaching.Through camera imaging,the students'listening effect is statistically analyzed,and the proportion of students listening carefully is displayed immediately,which can be used as a reference for teachers to master the classroom listening situation and provide reference for behavior.Contrast the experimental results show that this method can effectively improve the teaching quality without increasing the additional teaching cost.
作者
覃匡宇
陈鹏
QIN Kuang-yu;CHEN Peng(School of Computer Science and Information Security,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China)
出处
《教育教学论坛》
2020年第14期373-375,共3页
Education And Teaching Forum
关键词
人工智能
反馈式教学
神经网络
artificial intelligence
feedback-based teaching
neural network
