大数据在高职创业创新教育中的应用

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Information Technology and Web Engineering Pub Date : 2023-11-21 DOI:10.4018/ijitwe.333898
Long Chen, Jiang He
{"title":"大数据在高职创业创新教育中的应用","authors":"Long Chen, Jiang He","doi":"10.4018/ijitwe.333898","DOIUrl":null,"url":null,"abstract":"The traditional grid did not consider the dynamic characteristics of the big data of innovation and entrepreneurship education. The grid based quantitative evaluation model of analytical AI teaching information based on adaptive identification and weighting algorithm is gradually applied to the daily operating system of innovation and entrepreneurship education. This article studies the application of adaptive recognition weighting algorithm in grid analysis of innovation and entrepreneurship education in domestic vocational colleges, and proposes an AI teaching model of grid analysis based on adaptive recognition weighting algorithm and online analysis of innovation and entrepreneurship education intelligence in colleges and universities. The results show that the innovation and entrepreneurship education model in colleges and universities based on grid analysis network teaching and adaptive recognition weighting algorithm can efficiently and intelligently diagnose students' teaching data, and achieve the innovation of big data analysis technology in colleges and universities.","PeriodicalId":51925,"journal":{"name":"International Journal of Information Technology and Web Engineering","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Big Data in Entrepreneurship and Innovation Education for Higher Vocational Teaching\",\"authors\":\"Long Chen, Jiang He\",\"doi\":\"10.4018/ijitwe.333898\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The traditional grid did not consider the dynamic characteristics of the big data of innovation and entrepreneurship education. The grid based quantitative evaluation model of analytical AI teaching information based on adaptive identification and weighting algorithm is gradually applied to the daily operating system of innovation and entrepreneurship education. This article studies the application of adaptive recognition weighting algorithm in grid analysis of innovation and entrepreneurship education in domestic vocational colleges, and proposes an AI teaching model of grid analysis based on adaptive recognition weighting algorithm and online analysis of innovation and entrepreneurship education intelligence in colleges and universities. The results show that the innovation and entrepreneurship education model in colleges and universities based on grid analysis network teaching and adaptive recognition weighting algorithm can efficiently and intelligently diagnose students' teaching data, and achieve the innovation of big data analysis technology in colleges and universities.\",\"PeriodicalId\":51925,\"journal\":{\"name\":\"International Journal of Information Technology and Web Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Information Technology and Web Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijitwe.333898\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information Technology and Web Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijitwe.333898","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

传统网格没有考虑创新创业教育大数据的动态特性。基于自适应识别加权算法的网格化人工智能教学信息量化分析评价模型逐步应用于创新创业教育的日常操作系统中。本文研究了自适应识别加权算法在国内高职院校创新创业教育网格化分析中的应用,提出了基于自适应识别加权算法的网格化分析人工智能教学模型和高校创新创业教育智能在线分析方法。结果表明,基于网格分析网络教学和自适应识别加权算法的高校创新创业教育模式能够高效、智能地诊断学生的教学数据,实现高校大数据分析技术的创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Application of Big Data in Entrepreneurship and Innovation Education for Higher Vocational Teaching
The traditional grid did not consider the dynamic characteristics of the big data of innovation and entrepreneurship education. The grid based quantitative evaluation model of analytical AI teaching information based on adaptive identification and weighting algorithm is gradually applied to the daily operating system of innovation and entrepreneurship education. This article studies the application of adaptive recognition weighting algorithm in grid analysis of innovation and entrepreneurship education in domestic vocational colleges, and proposes an AI teaching model of grid analysis based on adaptive recognition weighting algorithm and online analysis of innovation and entrepreneurship education intelligence in colleges and universities. The results show that the innovation and entrepreneurship education model in colleges and universities based on grid analysis network teaching and adaptive recognition weighting algorithm can efficiently and intelligently diagnose students' teaching data, and achieve the innovation of big data analysis technology in colleges and universities.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.60
自引率
0.00%
发文量
24
期刊介绍: Organizations are continuously overwhelmed by a variety of new information technologies, many are Web based. These new technologies are capitalizing on the widespread use of network and communication technologies for seamless integration of various issues in information and knowledge sharing within and among organizations. This emphasis on integrated approaches is unique to this journal and dictates cross platform and multidisciplinary strategy to research and practice.
期刊最新文献
Securities Quantitative Trading Strategy Based on Deep Learning of Industrial Internet of Things Multimedia Human-Computer Interaction Method in Video Animation Based on Artificial Intelligence Technology Supplier Evaluation in Supply Chain Environment Based on Radial Basis Function Neural Network Manufacturing Process Optimization in the Process Industry GA-BP Optimization Using Hybrid Machine Learning Algorithm for Thermopile Temperature Compensation
×
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