摘要
通过回归分析探讨“社-校-家-生”四维影响因素对学业预警机制的相关性,对安徽中医药大学中西医临床医学专业的421名学生展开调研,采用主成分分析法,建立多因素回归分析模型。建立模型后,发现其中影响最大的五方面因素分别是家庭、课外活动、学习基础、人际关系、就业情况。其中,重要性分析中,父母最高文化水平、生活费/月、挂科数目、户籍所在地、担任班委、辅导员联系家长情况排序前六。通过对四维因素进行逐步回归分析与交互分析,发现对学业预警影响最为显著的为家庭因素和学校因素,且两者不存在交互关系。基于回归分析结果显示对学业成绩影响的主要因素为家庭因素、学校因素,其中家庭维度方面主要是生活费/月、户籍所在地起主要作用,与学业成绩呈负相关,学校维度层面主要是辅导员与家长的联系情况以及相关制度的制定与开展影响较大,与学业成绩呈正相关。
To explore the correlation of the social-school-family-student four-dimensional influence factors on the academic early warning mechanism through regression analysis.A survey was conducted among 421 students majoring in clinical medicine of traditional Chinese and western medicine in Anhui University of Traditional Chinese Medicine.Principal component analysis is used to establish a multi-factor regression analysis model.After building the model,it finds that the five most influential factors are family,extracurricular activities,learning foundation,interpersonal relationship,and employment status.Among them,in the importance analysis,the highest educational level of parents,living expenses/month,number of failed courses,place of household registration,serving as a class committee member,and counselor's contact with parents ranked the top six.Through the stepwise regression analysis and interactive analysis of the four-dimensional factors,it was found that family factors and school factors had the most significant impact on academic early warning,and there was no interactive relationship between the two.Based on the results of regression analysis,the main factors affecting academic performance are family factors and school factors.In the family dimension,the highest educational level of parents and living expenses/month play a major role in negative correlation with academic performance.The school dimension is mainly the relationship between counselors and parents and the establishment and development of related systems have a greater impact,and are positively correlated with academic performance.
出处
《高教学刊》
2024年第S01期41-47,共7页
Journal of Higher Education
基金
安徽省质量工程一般项目“基于集成学习法下的家校协同干预学业预警的成效实证研究”(2022jxgl036)
安徽省教育厅人文重点项目“后疫情时期构建‘六位一体’高校就业指导与服务体系的研究——以安徽中医药大学为例”(SK2020A0249)
安徽中医药大学质量工程重点项目“基于SVM算法的‘家-校-生’动态学业预警机制研究与实践”(2021zlgc048)。
关键词
学业预警
“社-校-家-生”四维
主成分分析
回归分析
交互作用
academic early warning
society-school-family-student four dimensions
principal component analysis
regression analysis
interaction
