{"title":"基于大数据的创新创业课程教学效果评价模型分析","authors":"Diao Aijun","doi":"10.1109/ICMTMA50254.2020.00184","DOIUrl":null,"url":null,"abstract":"In order to improve that effect of the teaching of the innovation and start-up course, through the analysis of the effect of the teaching of the innovative start-up course, the quantitative evaluation of the effect on the teaching of the innovative start-up course is realized, and a method for evaluating the effect of the innovation and start-up course teaching based on the big data analysis is put forward. To analyze the problems and countermeasures of the teaching of the innovation and start-up course. a large-data statistical average analysis model of the effect of building an innovative entrepreneurship course teaching is constructed, a sample regression analysis method is combined to carry out the high-effect data analysis on the teaching of the innovative start-up course, and the decision-making objective function of the effect evaluation on the teaching of the innovative start-up course is constructed, The quantitative regression analysis of the effect of the innovative start-up course teaching is carried out by adopting the method of convergence rule evaluation, and the large-data feature extraction and the relevance description are carried out in combination with the descriptive statistical analysis result. The statistical feature of the effect of the innovative start-up course teaching is applied to the pattern recognition and feature selection by means of the average mutual information clustering method, and the effect evaluation of the innovation and start-up course teaching based on the big data analysis is realized. The simulation results show that the confidence level of the effect evaluation is high, and the evaluation result is accurate and reliable.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"75 9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analysis on the Evaluation Model of the Teaching Effect of Innovation and Entrepreneurship Course Based on Big Data\",\"authors\":\"Diao Aijun\",\"doi\":\"10.1109/ICMTMA50254.2020.00184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to improve that effect of the teaching of the innovation and start-up course, through the analysis of the effect of the teaching of the innovative start-up course, the quantitative evaluation of the effect on the teaching of the innovative start-up course is realized, and a method for evaluating the effect of the innovation and start-up course teaching based on the big data analysis is put forward. To analyze the problems and countermeasures of the teaching of the innovation and start-up course. a large-data statistical average analysis model of the effect of building an innovative entrepreneurship course teaching is constructed, a sample regression analysis method is combined to carry out the high-effect data analysis on the teaching of the innovative start-up course, and the decision-making objective function of the effect evaluation on the teaching of the innovative start-up course is constructed, The quantitative regression analysis of the effect of the innovative start-up course teaching is carried out by adopting the method of convergence rule evaluation, and the large-data feature extraction and the relevance description are carried out in combination with the descriptive statistical analysis result. The statistical feature of the effect of the innovative start-up course teaching is applied to the pattern recognition and feature selection by means of the average mutual information clustering method, and the effect evaluation of the innovation and start-up course teaching based on the big data analysis is realized. The simulation results show that the confidence level of the effect evaluation is high, and the evaluation result is accurate and reliable.\",\"PeriodicalId\":333866,\"journal\":{\"name\":\"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)\",\"volume\":\"75 9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMTMA50254.2020.00184\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMTMA50254.2020.00184","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis on the Evaluation Model of the Teaching Effect of Innovation and Entrepreneurship Course Based on Big Data
In order to improve that effect of the teaching of the innovation and start-up course, through the analysis of the effect of the teaching of the innovative start-up course, the quantitative evaluation of the effect on the teaching of the innovative start-up course is realized, and a method for evaluating the effect of the innovation and start-up course teaching based on the big data analysis is put forward. To analyze the problems and countermeasures of the teaching of the innovation and start-up course. a large-data statistical average analysis model of the effect of building an innovative entrepreneurship course teaching is constructed, a sample regression analysis method is combined to carry out the high-effect data analysis on the teaching of the innovative start-up course, and the decision-making objective function of the effect evaluation on the teaching of the innovative start-up course is constructed, The quantitative regression analysis of the effect of the innovative start-up course teaching is carried out by adopting the method of convergence rule evaluation, and the large-data feature extraction and the relevance description are carried out in combination with the descriptive statistical analysis result. The statistical feature of the effect of the innovative start-up course teaching is applied to the pattern recognition and feature selection by means of the average mutual information clustering method, and the effect evaluation of the innovation and start-up course teaching based on the big data analysis is realized. The simulation results show that the confidence level of the effect evaluation is high, and the evaluation result is accurate and reliable.