{"title":"A Research on Learning Community in Robotics Education in High Schools under the Grounded Theory","authors":"Qing Su, Wenlan Zhang, Yuxuan Feng","doi":"10.1109/ISET55194.2022.00010","DOIUrl":null,"url":null,"abstract":"The objective of this study is to reveal the features of learning communities in robotics education with the aim of providing a reference for the better establishment of robotics education learning teams and the development of robotics education in primary and secondary schools. Based on the method of grounded theory, this study coded semi-structured interviews with 15 high school students using the qualitative research analysis software NVIVO to form 66 concepts, 21 original categories, 9 main categories, and 4 core categories to analyse the individual expectations, shared vision, membership structure, learning styles, and learning effectiveness of student learning communities in robotics education.","PeriodicalId":365516,"journal":{"name":"2022 International Symposium on Educational Technology (ISET)","volume":"2000 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Symposium on Educational Technology (ISET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISET55194.2022.00010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
The objective of this study is to reveal the features of learning communities in robotics education with the aim of providing a reference for the better establishment of robotics education learning teams and the development of robotics education in primary and secondary schools. Based on the method of grounded theory, this study coded semi-structured interviews with 15 high school students using the qualitative research analysis software NVIVO to form 66 concepts, 21 original categories, 9 main categories, and 4 core categories to analyse the individual expectations, shared vision, membership structure, learning styles, and learning effectiveness of student learning communities in robotics education.
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