{"title":"书评:学习分析手册","authors":"Paul R. Bowdre","doi":"10.30845/jesp.v6n4p8","DOIUrl":null,"url":null,"abstract":"The Handbook of Learning Analytics ,edited by Charles Lang, George Siemens, Alyssa Wise, and Dragan Gašević(2017), proposes to meet the different requirements of a growing and new field. The book focuses on balancing quality, rigor, breadth of appeal, and open access. The book was written to act as an introduction to and an overview of the recent state of research. The different sections and chapters found in the book were peer-reviewed by various members who are committed in these fields and also printed with the support and commendation of the International Society for Educational Data Mining and the Society for Learning Analytics Research. This book is an excellent resource because it incorporates different editors and writers who are prominent practitioners and researchers of educational data mining and learning analytics to deliberate on some of the most important questions which are regularly not adequately understood by people who do not qualify as experts in the field of learning analytics.","PeriodicalId":170810,"journal":{"name":"Journal of Education & Social Policy","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Book Review: Handbook of Learning Analytics\",\"authors\":\"Paul R. Bowdre\",\"doi\":\"10.30845/jesp.v6n4p8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Handbook of Learning Analytics ,edited by Charles Lang, George Siemens, Alyssa Wise, and Dragan Gašević(2017), proposes to meet the different requirements of a growing and new field. The book focuses on balancing quality, rigor, breadth of appeal, and open access. The book was written to act as an introduction to and an overview of the recent state of research. The different sections and chapters found in the book were peer-reviewed by various members who are committed in these fields and also printed with the support and commendation of the International Society for Educational Data Mining and the Society for Learning Analytics Research. This book is an excellent resource because it incorporates different editors and writers who are prominent practitioners and researchers of educational data mining and learning analytics to deliberate on some of the most important questions which are regularly not adequately understood by people who do not qualify as experts in the field of learning analytics.\",\"PeriodicalId\":170810,\"journal\":{\"name\":\"Journal of Education & Social Policy\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Education & Social Policy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30845/jesp.v6n4p8\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Education & Social Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30845/jesp.v6n4p8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Handbook of Learning Analytics ,edited by Charles Lang, George Siemens, Alyssa Wise, and Dragan Gašević(2017), proposes to meet the different requirements of a growing and new field. The book focuses on balancing quality, rigor, breadth of appeal, and open access. The book was written to act as an introduction to and an overview of the recent state of research. The different sections and chapters found in the book were peer-reviewed by various members who are committed in these fields and also printed with the support and commendation of the International Society for Educational Data Mining and the Society for Learning Analytics Research. This book is an excellent resource because it incorporates different editors and writers who are prominent practitioners and researchers of educational data mining and learning analytics to deliberate on some of the most important questions which are regularly not adequately understood by people who do not qualify as experts in the field of learning analytics.