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理工类大学生小组活动参与度预测分析

Predictive Analysis of Group Activity Participation of Science and Engineering College Students
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摘要 将理工类大学生小组活动参与度及影响因素分别作为因变量、自变量,依据其中五百份问卷利用SPSS建立参与度回归模型,通过对比剩余问卷的实际值和预测值验证模型,结果表明:建立的小组活动参与度预测模型合理有效,能以较小的误差预测理工类学生小组活动参与度,能为提高小组活动参与度提供合理建议,并最终推动当代大学课堂考核评价方式的改革。 Under the background of policy orientation and the requirements of the times,the traditional teaching evaluation method of university has been difficult to meet the development needs.Group work has been widely used in language teaching and achieved good results due to its unique experiment,but it is seldom used in science and technology class.As the main participants of group work,students’participation in group work is of key significance to the effect of group work and teaching evaluation.This study set science and engineering students group work participation and influence factors as the dependent variable and independent variables respectively,regression model was established through SPSS based on five hundred questionnaires participation,by comparing the actual value and forecast verification model of residual questionnaire,the results show that the established group work participation prediction model is reasonable and effective,which can predict the participation of science and engineering students in group work with a small error,provide reasonable suggestions for improving the participation of group work,and finally promote the reform of the evaluation method of contemporary university classroom.
作者 梅婷婷 钟树达 邓勇飞 Mei Tingting;Zhong Shuda;Deng Yongfei(School of Civil Engineering and Architecture,Wuhan Institute of Technology,Wuhan,Hubei 430074,China;School of Resources&Safety Engineering,Wuhan Institute of Technology,Wuhan,Hubei 430074,China)
出处 《湖北工程学院学报》 2022年第6期99-104,共6页 Journal of Hubei Engineering University
基金 武汉工程大学教学研究项目(X202017)。
关键词 教学评价 小组活动 理工类大学生 SPSS 回归模型 teaching evaluation group work science and engineering college students SPSS regression model
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