Application of Efficient Emotional Arousal in the "Internet +" Smart-classroom Teaching Environment

Ying Han, Yuqing Zhang
{"title":"Application of Efficient Emotional Arousal in the \"Internet +\" Smart-classroom Teaching Environment","authors":"Ying Han, Yuqing Zhang","doi":"10.1145/3528137.3528158","DOIUrl":null,"url":null,"abstract":"In the context of artificial intelligence, the application of \"Internet +\" smart-classroom teaching environment is of great value to modern teaching practice. In education environment, teachers can control the teaching environment and adopt emotional awakening as the main penetration principle, which can effectively promote students' learning efficiency. This study is based on the ecological valence theory (EVT), Combining Thomas and Chess PTQ as well as the odor preference questionnaire, 339 Chinese children aged 3 – 7 were randomly selected as subjects, The results show that 1, olfactory sensitivity can be used as an important environmental science application element in the smart-classroom of children aged 3-7; 2, it can effectively improve Chinese children's mood and persistence that the intelligent ecosystem in the environment through the linkage application; 3, it contributes to the accurate dissemination of odor categories in smart classrooms that establishment of child trait big data analysis; 4, uses different sensing devices and man-machine interaction modules to effectively increase the control of the teaching space, enhance students' sense of self-efficacy.","PeriodicalId":440758,"journal":{"name":"Proceedings of the 2022 3rd International Conference on Education Development and Studies","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 3rd International Conference on Education Development and Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3528137.3528158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In the context of artificial intelligence, the application of "Internet +" smart-classroom teaching environment is of great value to modern teaching practice. In education environment, teachers can control the teaching environment and adopt emotional awakening as the main penetration principle, which can effectively promote students' learning efficiency. This study is based on the ecological valence theory (EVT), Combining Thomas and Chess PTQ as well as the odor preference questionnaire, 339 Chinese children aged 3 – 7 were randomly selected as subjects, The results show that 1, olfactory sensitivity can be used as an important environmental science application element in the smart-classroom of children aged 3-7; 2, it can effectively improve Chinese children's mood and persistence that the intelligent ecosystem in the environment through the linkage application; 3, it contributes to the accurate dissemination of odor categories in smart classrooms that establishment of child trait big data analysis; 4, uses different sensing devices and man-machine interaction modules to effectively increase the control of the teaching space, enhance students' sense of self-efficacy.
高效情绪唤醒在“互联网+”智能课堂教学环境中的应用
在人工智能背景下,“互联网+”智能课堂教学环境的应用对现代教学实践具有重要价值。在教育环境中,教师可以控制教学环境,以情感觉醒为主要渗透原则,可以有效地提高学生的学习效率。本研究以生态效价理论(EVT)为基础,结合Thomas PTQ和Chess PTQ以及气味偏好问卷,随机抽取339名3-7岁的中国儿童作为研究对象。结果表明:1、嗅觉敏感性可以作为3-7岁儿童智能课堂环境科学应用的重要要素;2、通过联动应用,可以有效提升中国儿童对环境中智能生态的心情和坚持;3、建立儿童特质大数据分析有助于智能教室气味类别的准确传播;4、采用不同的传感装置和人机交互模块,有效增加对教学空间的控制,增强学生的自我效能感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信