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基于人工智能技术的学生情绪在线分析方法

Online Analysis Method of Students’Emotion Based on Artificial Intelligence Technology
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摘要 近年来,因为疫情以及音视频和网络技术的发展,在线教学急速发展。与传统课堂教学相比,在线教学具有不受地点限制、互动范围广等优点。但是,在线教学比较缺乏师生互动,受环境和软件等因素影响老师无法面对面有效观察学员,从而无法判断学习者的当时的学习状态,影响教学效果。为此,本文提出一种基于人工智能技术的学生情绪在线分析方法,旨在通过识别学生的情绪来辅助了解当前学生的学习状态,从而为授课教师提供教学参考,进而帮助老师正确选择教学策略,以达到提高教学质量的目的。 In recent years,due to the epidemic situation and the development of audio,video and network technology,online teaching hasdevelopedrapidly.Comparedwithtraditional classroomteaching,online teachinghas the advantages ofunlimited locationand wide range of interaction.However,online teaching lacks interaction between teachers and students.Affected by factors such as environment and software,teachers cannot effectively observe students face to face,so they cannot judge the learners’learning state at that time and affect the teaching effect.Therefore,this paper proposes an online analysis method of students’emotion based on artificial intelligence technology,which aims to help understand the current students’learning state by identifying students’emotion,so as to provide teaching reference for teachers,and then help teachers choose teaching strategies correctly,so as to improve teaching quality.
作者 唐闺臣 谢跃 李克 TANG Guichen;XIE Yue;LI Ke(School of Information and Communication Engineering,Nanjing Institute of Technology,Nanjing,Jiangsu 211167;School of Information Science and Engineering,Southeast University,Nanjing,Jiangsu 210096)
出处 《科教导刊》 2021年第33期134-136,共3页 The Guide Of Science & Education
基金 2020年度江苏高校哲学社会科学研究一般项目“基于人工智能的在线教学质量双向评价研究”(项目编号:2020SJA0455)。
关键词 在线教学 情绪识别 深度学习网络 人工智能 online teaching emotion recognition deep learning network artificial intelligence
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