An empirical study on the effect of academic engagement on academic achievement of engineering students in colleges and universities

Xia Liu, Mingwei Liang
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Abstract

Abstract Based on the linear regression algorithm, this paper uses the basic linear regression algorithm and the kernel linear regression algorithm to construct the relationship model between academic input and academic achievement based on linear regression and to determine the independent variables, dependent variables and control variables in the model. The engineering students of East China Normal University are selected as the research object, the research instrument is determined, the research index is determined according to the survey, and the research hypothesis is proposed, and then the research and analysis design of the impact of academic input on academic achievement is completed. Using reliability and validity to test the validity of the questionnaire, the initial data of the study can be obtained by distributing the questionnaire, and correlation analysis and regression analysis are used to carry out an empirical study of academic input and academic achievement based on linear regression. The results show that the correlation coefficient between academic input and academic achievement of master’s degree students is R=0.892 and R2=0.792, indicating that the predictive variance of academic input on academic achievement is 89.2%. The effects of the dimensions under the academic input on the social adjustment dimension under the academic achievement were, in descending order, as follows: active cooperation > teacher-student interaction > educational enrichment > academic challenge > campus support. This study comprehensively analyzes the impact of academic engagement on academic achievement, and colleges and universities should change the test of students’ ability to memorize knowledge and skills to the test of students’ ability to analyze and solve problems by applying what they have learned.
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关于学术参与对高校工科学生学业成绩影响的实证研究
摘要本文以线性回归算法为基础,利用基本线性回归算法和核线性回归算法,构建基于线性回归的学业投入与学业成绩的关系模型,确定模型中的自变量、因变量和控制变量。选取华东师范大学工科学生作为研究对象,根据调查确定研究工具,确定研究指标,提出研究假设,进而完成学术投入对学业成果影响的研究分析设计。采用信度和效度对问卷的效度进行检验,通过发放问卷获得本研究的初始数据,并采用相关分析和回归分析对基于线性回归的学术投入与学术成果进行实证研究。结果表明,硕士生学业投入与学业成绩的相关系数为R=0.892, R2=0.792,表明学业投入对学业成绩的预测方差为89.2%。学业投入下各维度对学业成就下社会适应维度的影响程度由大到小依次为:积极合作>师生互动>教育充实>学业挑战>校园支持。本研究全面分析了学业投入对学业成绩的影响,高校应将对学生记忆知识和技能能力的测试转变为对学生运用所学知识分析和解决问题能力的测试。
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来源期刊
Applied Mathematics and Nonlinear Sciences
Applied Mathematics and Nonlinear Sciences Engineering-Engineering (miscellaneous)
CiteScore
2.90
自引率
25.80%
发文量
203
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