{"title":"科技企业数字化学习的学习与应用分析","authors":"Hongsheng Wang, Kaiyu Yi, Zhixian Zhong","doi":"10.2991/assehr.k.200727.018","DOIUrl":null,"url":null,"abstract":"With the advent of the artificial intelligence era, it is an irresistible trend for enterprises to adopt digital learning instead of traditional corporate training methods. Digital learning plays an active role in the enterprise talent training strategy and brings good economic benefits to the enterprise. Digital teaching will produce complicated data. Learning and analysis technology is to use big data to quantitatively analyze learners' learning behaviors, provide evidence for learners' self-evaluation and corporate learning assessment, and also make decision-making and pre-judgment actions for decision makers. Provide data support. This paper introduces the study analysis, to explore its potential applications in enterprise digital learning, and learning challenges facing the analysis.","PeriodicalId":152231,"journal":{"name":"Proceedings of the 2020 International Conference on Advanced Education, Management and Information Technology (AEMIT 2020)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Learning and Analyzing the Application of Digital Learning in Technology Enterprises\",\"authors\":\"Hongsheng Wang, Kaiyu Yi, Zhixian Zhong\",\"doi\":\"10.2991/assehr.k.200727.018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the advent of the artificial intelligence era, it is an irresistible trend for enterprises to adopt digital learning instead of traditional corporate training methods. Digital learning plays an active role in the enterprise talent training strategy and brings good economic benefits to the enterprise. Digital teaching will produce complicated data. Learning and analysis technology is to use big data to quantitatively analyze learners' learning behaviors, provide evidence for learners' self-evaluation and corporate learning assessment, and also make decision-making and pre-judgment actions for decision makers. Provide data support. This paper introduces the study analysis, to explore its potential applications in enterprise digital learning, and learning challenges facing the analysis.\",\"PeriodicalId\":152231,\"journal\":{\"name\":\"Proceedings of the 2020 International Conference on Advanced Education, Management and Information Technology (AEMIT 2020)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 International Conference on Advanced Education, Management and Information Technology (AEMIT 2020)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/assehr.k.200727.018\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 International Conference on Advanced Education, Management and Information Technology (AEMIT 2020)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/assehr.k.200727.018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Learning and Analyzing the Application of Digital Learning in Technology Enterprises
With the advent of the artificial intelligence era, it is an irresistible trend for enterprises to adopt digital learning instead of traditional corporate training methods. Digital learning plays an active role in the enterprise talent training strategy and brings good economic benefits to the enterprise. Digital teaching will produce complicated data. Learning and analysis technology is to use big data to quantitatively analyze learners' learning behaviors, provide evidence for learners' self-evaluation and corporate learning assessment, and also make decision-making and pre-judgment actions for decision makers. Provide data support. This paper introduces the study analysis, to explore its potential applications in enterprise digital learning, and learning challenges facing the analysis.