{"title":"Causal Effect Evaluation of Non-Technical Graduation Requirements Supported by Specialized Courses Based on Instrumental Variable Method","authors":"Yi-Fang Yang, Bin Duan, Sirocco, Chen Qian","doi":"10.1109/EITT57407.2022.00024","DOIUrl":null,"url":null,"abstract":"At the moment of constant changes in measurement research methods, causal inference methods have made great progress in social science research. The complementarity and integration of causal inference methods and education evaluation schemes have become an urgent concern for researchers in the field of engineering education. In order to explain the causal effect of professional courses supporting the requirements of non-technical graduation, and thus enhance the efficiency of education governance, this paper focuses on causal inference, The transfer is applied to the field of engineering education to provide guidance and reference for teachers' teaching plans, and the tool variable method is used to remove the influence of mixed factors and to build a causal inference model. STATA software was used to empirically analyze and study the causal effect of the communication ability of electromagnetic microwave technology and antenna bilingual teaching supporting graduation requirements of professional courses, and on this basis, relevant suggestions are put forward to regulate the curriculum teaching plan and increase the output of results. The research results show that this method can guide and regulate the course teaching plan, thereby helping to make education governance intelligent.","PeriodicalId":252290,"journal":{"name":"2022 Eleventh International Conference of Educational Innovation through Technology (EITT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Eleventh International Conference of Educational Innovation through Technology (EITT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EITT57407.2022.00024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
At the moment of constant changes in measurement research methods, causal inference methods have made great progress in social science research. The complementarity and integration of causal inference methods and education evaluation schemes have become an urgent concern for researchers in the field of engineering education. In order to explain the causal effect of professional courses supporting the requirements of non-technical graduation, and thus enhance the efficiency of education governance, this paper focuses on causal inference, The transfer is applied to the field of engineering education to provide guidance and reference for teachers' teaching plans, and the tool variable method is used to remove the influence of mixed factors and to build a causal inference model. STATA software was used to empirically analyze and study the causal effect of the communication ability of electromagnetic microwave technology and antenna bilingual teaching supporting graduation requirements of professional courses, and on this basis, relevant suggestions are put forward to regulate the curriculum teaching plan and increase the output of results. The research results show that this method can guide and regulate the course teaching plan, thereby helping to make education governance intelligent.