K.I. Takahashi, M. Tsuda, J. Nakamura, K. Kato, S. Nishi
{"title":"基于顾客调查的电子学习环境评价","authors":"K.I. Takahashi, M. Tsuda, J. Nakamura, K. Kato, S. Nishi","doi":"10.1109/ECODIM.2005.1619385","DOIUrl":null,"url":null,"abstract":"The extended environmental impact of e-learning was studied including ripple effects. E-learning changes the user's lifestyle and the various changes (ripple effects) were quantified by using an Internet questionnaire. The environmental burdens were evaluated with LCA and the results were shown as carbon dioxide (CO2) emissions. E-learning can reduce the CO2 emissions generated by conventional training by an average of 95%","PeriodicalId":383623,"journal":{"name":"2005 4th International Symposium on Environmentally Conscious Design and Inverse Manufacturing","volume":"163 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Environmental Assessment of e-Learning Based on a Customer Survey\",\"authors\":\"K.I. Takahashi, M. Tsuda, J. Nakamura, K. Kato, S. Nishi\",\"doi\":\"10.1109/ECODIM.2005.1619385\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The extended environmental impact of e-learning was studied including ripple effects. E-learning changes the user's lifestyle and the various changes (ripple effects) were quantified by using an Internet questionnaire. The environmental burdens were evaluated with LCA and the results were shown as carbon dioxide (CO2) emissions. E-learning can reduce the CO2 emissions generated by conventional training by an average of 95%\",\"PeriodicalId\":383623,\"journal\":{\"name\":\"2005 4th International Symposium on Environmentally Conscious Design and Inverse Manufacturing\",\"volume\":\"163 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 4th International Symposium on Environmentally Conscious Design and Inverse Manufacturing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECODIM.2005.1619385\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 4th International Symposium on Environmentally Conscious Design and Inverse Manufacturing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECODIM.2005.1619385","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Environmental Assessment of e-Learning Based on a Customer Survey
The extended environmental impact of e-learning was studied including ripple effects. E-learning changes the user's lifestyle and the various changes (ripple effects) were quantified by using an Internet questionnaire. The environmental burdens were evaluated with LCA and the results were shown as carbon dioxide (CO2) emissions. E-learning can reduce the CO2 emissions generated by conventional training by an average of 95%