{"title":"使用创新的技术解决方案作为风险学生的干预:一项确定九年级新生学院、中心和中心模式对少数民族学生保留和成绩影响的元认知统计分析。","authors":"J. E. Osler, Carl Waden","doi":"10.26634/JSCH.8.2.2023","DOIUrl":null,"url":null,"abstract":"This paper provides an active discourse on the use of innovative solutions to conduct an in–depth investigation on the success and viability of 9th Grade Freshman Academies, Centers, and Center Models to aid in the retention of at risk students. These types of academic programs provide an active solution for the retention and projected completion of High School by minority students. The research methodology used in this study is Meta–Cognitive Analysis. This novel approach to data analysis is a mixed methods research design that involves the holistic combination and in–depth comparison of qualitative and quantitative data.","PeriodicalId":242221,"journal":{"name":"Journal on School Educational Technology","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Using Innovative Technical Solutions as an Intervention for at Risk Students: A Meta-Cognitive Statistical Analysis to Determine the Impact of Ninth Grade Freshman Academies, Centers, and Center Models upon Minority Student Retention and Achievement.\",\"authors\":\"J. E. Osler, Carl Waden\",\"doi\":\"10.26634/JSCH.8.2.2023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper provides an active discourse on the use of innovative solutions to conduct an in–depth investigation on the success and viability of 9th Grade Freshman Academies, Centers, and Center Models to aid in the retention of at risk students. These types of academic programs provide an active solution for the retention and projected completion of High School by minority students. The research methodology used in this study is Meta–Cognitive Analysis. This novel approach to data analysis is a mixed methods research design that involves the holistic combination and in–depth comparison of qualitative and quantitative data.\",\"PeriodicalId\":242221,\"journal\":{\"name\":\"Journal on School Educational Technology\",\"volume\":\"106 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal on School Educational Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26634/JSCH.8.2.2023\",\"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 on School Educational Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26634/JSCH.8.2.2023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Innovative Technical Solutions as an Intervention for at Risk Students: A Meta-Cognitive Statistical Analysis to Determine the Impact of Ninth Grade Freshman Academies, Centers, and Center Models upon Minority Student Retention and Achievement.
This paper provides an active discourse on the use of innovative solutions to conduct an in–depth investigation on the success and viability of 9th Grade Freshman Academies, Centers, and Center Models to aid in the retention of at risk students. These types of academic programs provide an active solution for the retention and projected completion of High School by minority students. The research methodology used in this study is Meta–Cognitive Analysis. This novel approach to data analysis is a mixed methods research design that involves the holistic combination and in–depth comparison of qualitative and quantitative data.