{"title":"挖掘教育大数据，开发学困生早期预警动态模型：概念验证","authors":"Xiaoxia Chen, Xiaolong Xu","doi":"10.1080/14703297.2024.2396092","DOIUrl":null,"url":null,"abstract":"Educational big data has great predictive power to identify academically at-risk students. Based on fully mining educational big data, this study developed an early alert dynamic model of academica...","PeriodicalId":47628,"journal":{"name":"Innovations in Education and Teaching International","volume":"205 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mining educational big data to develop an early alert dynamic model of academically at-risk students: A proof of concept\",\"authors\":\"Xiaoxia Chen, Xiaolong Xu\",\"doi\":\"10.1080/14703297.2024.2396092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Educational big data has great predictive power to identify academically at-risk students. Based on fully mining educational big data, this study developed an early alert dynamic model of academica...\",\"PeriodicalId\":47628,\"journal\":{\"name\":\"Innovations in Education and Teaching International\",\"volume\":\"205 1\",\"pages\":\"\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Innovations in Education and Teaching International\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://doi.org/10.1080/14703297.2024.2396092\",\"RegionNum\":4,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovations in Education and Teaching International","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1080/14703297.2024.2396092","RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Mining educational big data to develop an early alert dynamic model of academically at-risk students: A proof of concept
Educational big data has great predictive power to identify academically at-risk students. Based on fully mining educational big data, this study developed an early alert dynamic model of academica...
期刊介绍：
Innovations in Education and Teaching International (IETI), is the journal of the Staff and Educational Development Association (SEDA) www.seda.ac.uk. As such, contributions to the Journal should reflect SEDA"s aim to promote innovation and good practice in higher education through staff and educational development and subject-related practices. Contributions are welcomed on any aspect of promoting and supporting educational change in higher and other post-school education, with an emphasis on research, experience, scholarship and evaluation, rather than mere description of practice.
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