{"title":"运用HPT模型分析中国公立学校教师离职问题","authors":"Wendan Huang","doi":"10.1145/3417188.3417201","DOIUrl":null,"url":null,"abstract":"The issue of teacher turnover in public schools is becoming more and more concerned. Teacher turnover not only means that the quality of teaching is not guaranteed, but also greatly weakens the competitiveness of public schools. This paper analyzed the issue by using HPT model from the perspective of performance technology. The analysis showed that environmental factors and personal factors accounted for the loss of teachers, and there were corresponding sub-factors under each factor. In the light of those factors, five interventions were designed to improve the performance of teacher turnover. The application of evaluation ensured the effectiveness and sustainability of interventions.","PeriodicalId":373913,"journal":{"name":"Proceedings of the 2020 4th International Conference on Deep Learning Technologies","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Use of HPT Model to Analyze the Issue of Public School Teacher Turnover in China\",\"authors\":\"Wendan Huang\",\"doi\":\"10.1145/3417188.3417201\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The issue of teacher turnover in public schools is becoming more and more concerned. Teacher turnover not only means that the quality of teaching is not guaranteed, but also greatly weakens the competitiveness of public schools. This paper analyzed the issue by using HPT model from the perspective of performance technology. The analysis showed that environmental factors and personal factors accounted for the loss of teachers, and there were corresponding sub-factors under each factor. In the light of those factors, five interventions were designed to improve the performance of teacher turnover. The application of evaluation ensured the effectiveness and sustainability of interventions.\",\"PeriodicalId\":373913,\"journal\":{\"name\":\"Proceedings of the 2020 4th International Conference on Deep Learning Technologies\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 4th International Conference on Deep Learning Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3417188.3417201\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 4th International Conference on Deep Learning Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3417188.3417201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Use of HPT Model to Analyze the Issue of Public School Teacher Turnover in China
The issue of teacher turnover in public schools is becoming more and more concerned. Teacher turnover not only means that the quality of teaching is not guaranteed, but also greatly weakens the competitiveness of public schools. This paper analyzed the issue by using HPT model from the perspective of performance technology. The analysis showed that environmental factors and personal factors accounted for the loss of teachers, and there were corresponding sub-factors under each factor. In the light of those factors, five interventions were designed to improve the performance of teacher turnover. The application of evaluation ensured the effectiveness and sustainability of interventions.