{"title":"由于工作组织中与大流行相关的变化而导致的能力要求的变化——生产公司中机器学习的学习工厂方法","authors":"M. Schmauder, Gritt Ott, Elena Montenegro Hörder","doi":"10.30844/wgab_2021_7","DOIUrl":null,"url":null,"abstract":"The research project \"COVID 19 LL Lessons Learned\", funded by the German Federal Ministry of Education and Research (BMBF), aims to identify successful solutions and measures that emerged in three different German regions through a systematic analysis during the pandemic. The regions under consideration are Bavaria (TU Munich), North Rhine-Westphalia (RWTH Aachen) and Saxony (TU Dresden). The aim of the project is to identify the problems that companies and organisations are facing and what they have learned from the change process so far. In this way, it is to be determined whether innovative and digital forms of work that have emerged as a result of the pandemic can provide positive impulses that can prove their worth in the working world in the medium and long term. One of the issues under consideration is the change in competence requirements due to the pandemic-related change in work organisation. The following human-technology-organisation process model was used for the project work.","PeriodicalId":326536,"journal":{"name":"Competence development and learning assistance systems for the data-driven future","volume":"130 26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Change in competence requirements due to the pandemic-related change in work organisation - A learning factory approach on machine learning in production companies\",\"authors\":\"M. Schmauder, Gritt Ott, Elena Montenegro Hörder\",\"doi\":\"10.30844/wgab_2021_7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The research project \\\"COVID 19 LL Lessons Learned\\\", funded by the German Federal Ministry of Education and Research (BMBF), aims to identify successful solutions and measures that emerged in three different German regions through a systematic analysis during the pandemic. The regions under consideration are Bavaria (TU Munich), North Rhine-Westphalia (RWTH Aachen) and Saxony (TU Dresden). The aim of the project is to identify the problems that companies and organisations are facing and what they have learned from the change process so far. In this way, it is to be determined whether innovative and digital forms of work that have emerged as a result of the pandemic can provide positive impulses that can prove their worth in the working world in the medium and long term. One of the issues under consideration is the change in competence requirements due to the pandemic-related change in work organisation. The following human-technology-organisation process model was used for the project work.\",\"PeriodicalId\":326536,\"journal\":{\"name\":\"Competence development and learning assistance systems for the data-driven future\",\"volume\":\"130 26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Competence development and learning assistance systems for the data-driven future\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30844/wgab_2021_7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Competence development and learning assistance systems for the data-driven future","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30844/wgab_2021_7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Change in competence requirements due to the pandemic-related change in work organisation - A learning factory approach on machine learning in production companies
The research project "COVID 19 LL Lessons Learned", funded by the German Federal Ministry of Education and Research (BMBF), aims to identify successful solutions and measures that emerged in three different German regions through a systematic analysis during the pandemic. The regions under consideration are Bavaria (TU Munich), North Rhine-Westphalia (RWTH Aachen) and Saxony (TU Dresden). The aim of the project is to identify the problems that companies and organisations are facing and what they have learned from the change process so far. In this way, it is to be determined whether innovative and digital forms of work that have emerged as a result of the pandemic can provide positive impulses that can prove their worth in the working world in the medium and long term. One of the issues under consideration is the change in competence requirements due to the pandemic-related change in work organisation. The following human-technology-organisation process model was used for the project work.