{"title":"在中学几何中整合机器学习","authors":"Joshua Jones","doi":"10.5951/MTLT.2020.0187","DOIUrl":null,"url":null,"abstract":"Despite the importance of artificial intelligence in our daily lives, it has yet to be integratedinto K–12 classrooms in a meaningful way. Explore a lesson in which geometry students useEuclidean distance to implement a functional machine learning algorithm in Google Sheets™.","PeriodicalId":188924,"journal":{"name":"Mathematics Teacher: Learning and Teaching PK–12","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Integrating Machine Learning in Secondary Geometry\",\"authors\":\"Joshua Jones\",\"doi\":\"10.5951/MTLT.2020.0187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Despite the importance of artificial intelligence in our daily lives, it has yet to be integratedinto K–12 classrooms in a meaningful way. Explore a lesson in which geometry students useEuclidean distance to implement a functional machine learning algorithm in Google Sheets™.\",\"PeriodicalId\":188924,\"journal\":{\"name\":\"Mathematics Teacher: Learning and Teaching PK–12\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematics Teacher: Learning and Teaching PK–12\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5951/MTLT.2020.0187\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematics Teacher: Learning and Teaching PK–12","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5951/MTLT.2020.0187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integrating Machine Learning in Secondary Geometry
Despite the importance of artificial intelligence in our daily lives, it has yet to be integratedinto K–12 classrooms in a meaningful way. Explore a lesson in which geometry students useEuclidean distance to implement a functional machine learning algorithm in Google Sheets™.