On Application of "Artificial Intelligence Plus Large Data" in Public Maths Course Teaching of Engineering Colleges

Zheng Mali, Chen Huaxi
{"title":"On Application of \"Artificial Intelligence Plus Large Data\" in Public Maths Course Teaching of Engineering Colleges","authors":"Zheng Mali, Chen Huaxi","doi":"10.1109/ICSGEA.2019.00070","DOIUrl":null,"url":null,"abstract":"In recent years, artificial intelligence and large data are attracting increasing public attention, what's more, their practical application is greatly expected by the public. Currently, \"artificial intelligence plus large data\" is being put into practice gradually in the class-teaching of some certain colleges, with some desirable achievements made. Supported by artificial intelligence and large data, mathematical thinking abilities of related college students have developed profoundly, and accordingly, their comprehensive accomplishment has been strengthened. Based on this, this paper makes the analysis of existing problems in public Maths course teaching of engineering colleges of China, then introduces the development of artificial intelligence plus large data and their relations with public Maths course teaching of engineering colleges, and lastly makes scientific and reasonable exploration into the application of \"artificial intelligence plus large data\" in public Maths course teaching of engineering colleges, for the purpose of offering some proper help in public Maths course education of engineering colleges of China.","PeriodicalId":201721,"journal":{"name":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGEA.2019.00070","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 recent years, artificial intelligence and large data are attracting increasing public attention, what's more, their practical application is greatly expected by the public. Currently, "artificial intelligence plus large data" is being put into practice gradually in the class-teaching of some certain colleges, with some desirable achievements made. Supported by artificial intelligence and large data, mathematical thinking abilities of related college students have developed profoundly, and accordingly, their comprehensive accomplishment has been strengthened. Based on this, this paper makes the analysis of existing problems in public Maths course teaching of engineering colleges of China, then introduces the development of artificial intelligence plus large data and their relations with public Maths course teaching of engineering colleges, and lastly makes scientific and reasonable exploration into the application of "artificial intelligence plus large data" in public Maths course teaching of engineering colleges, for the purpose of offering some proper help in public Maths course education of engineering colleges of China.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
“人工智能+大数据”在工科院校公共数学课程教学中的应用
近年来,人工智能和大数据越来越受到公众的关注,其实际应用也备受公众的期待。目前,“人工智能+大数据”正在部分高校的课堂教学中逐步实施,并取得了一定的成效。在人工智能和大数据的支持下,相关大学生的数学思维能力得到了深刻的发展,综合素养得到了加强。在此基础上,分析了中国工科院校数学公共课程教学中存在的问题,然后介绍了人工智能+大数据的发展及其与工科院校数学公共课程教学的关系,最后对“人工智能+大数据”在工科院校数学公共课程教学中的应用进行了科学合理的探索。旨在为中国工科院校公共数学课程教育提供一些适当的帮助。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Summary of Studies on Bilingual Comparable Corpus Research and Application of Verification Error Data Processing of Electricity Meter Based on Grubbs Criterion Exploration of Clipped Barrier Silicon Carbide Schottky Diode Human Face Expression Recognition Based on Deep Learning-Deep Convolutional Neural Network Technical Research on High Power Silicon Carbide Schottky Barrier Diode
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1