{"title":"影响区域数字化教学资源校际共享关键因素的实证分析","authors":"Wei Wang","doi":"10.1109/ITCA52113.2020.00153","DOIUrl":null,"url":null,"abstract":"The regional digital teaching resources sharing among schools is becoming more and more popular, but restricted by some factors. It is of great practical significance to find out the key influencing factors to guide the regional digital teaching resources sharing among schools. In this paper, Suzhou International Education Park is taken as the empirical research object of the key influencing factors of regional digital teaching resources sharing between schools. Spss19.0 statistical software is used to process and analyze the collected information, find out the key influencing factors, and then carry out logistic regression analysis, finally forming the research conclusion","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An empirical analysis of the key factors affecting the inter school sharing of regional digital teaching resources\",\"authors\":\"Wei Wang\",\"doi\":\"10.1109/ITCA52113.2020.00153\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The regional digital teaching resources sharing among schools is becoming more and more popular, but restricted by some factors. It is of great practical significance to find out the key influencing factors to guide the regional digital teaching resources sharing among schools. In this paper, Suzhou International Education Park is taken as the empirical research object of the key influencing factors of regional digital teaching resources sharing between schools. Spss19.0 statistical software is used to process and analyze the collected information, find out the key influencing factors, and then carry out logistic regression analysis, finally forming the research conclusion\",\"PeriodicalId\":103309,\"journal\":{\"name\":\"2020 2nd International Conference on Information Technology and Computer Application (ITCA)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 2nd International Conference on Information Technology and Computer Application (ITCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITCA52113.2020.00153\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITCA52113.2020.00153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An empirical analysis of the key factors affecting the inter school sharing of regional digital teaching resources
The regional digital teaching resources sharing among schools is becoming more and more popular, but restricted by some factors. It is of great practical significance to find out the key influencing factors to guide the regional digital teaching resources sharing among schools. In this paper, Suzhou International Education Park is taken as the empirical research object of the key influencing factors of regional digital teaching resources sharing between schools. Spss19.0 statistical software is used to process and analyze the collected information, find out the key influencing factors, and then carry out logistic regression analysis, finally forming the research conclusion
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