高中生非智力因素与数学成绩的关系研究  

The study of mathematical learning and non-intellectual factors in high school students

作　　者：傅心星 李向军[1] FU Xin-xing;LI Xiang-jun(School of Information and Mathematics,Yangtze University,Jingzhou,434001,China)

机构地区：[1]长江大学信息与数学学院,湖北荆州434001

出　　处：《湖北师范大学学报（自然科学版）》2023年第1期71-78,共8页Journal of Hubei Normal University：Natural Science

摘　　要：高中数学是一门抽象、复杂、逻辑性很强的基础性课程。高中生在学习数学时,会受到多种因素的影响,导致学习成绩的不稳定。研究表明,学生的学习态度、兴趣、动机、焦虑、意志等非智力因素在数学学习中发挥着不可忽视的作用,因此深入研究学生的数学学习与非智力因素的关系十分必要。而线性回归则是利用数理统计中的回归分析,找出两个或更多的变量间的相关性,因此在本研究中运用线性回归分析法。根据结果得出学生的学习态度、兴趣、动机、焦虑、意志力与数学成绩的定量关系,以各个因素为出发点,提出积极有效的数学教学建议,全面提高学生的数学成绩。High school mathematics is an abstract, complex, logical and fundamental course. High school students are subject to a variety of factors that can lead to inconsistent academic performance when studying mathematics. Researches showed that non-intellectual factors such as students’ attitude, interest, motivation, and anxiety could play an indispensable role in the study of mathematics, so it is necessary to investigate the relationship between these factors and students’ mathematics learning in depth. Linear regressionis the use of regression analysis in mathematical statistics to explore the correlation between two or more variables, which is proper to be used in this study. With the analysis of the results, the paper found out quantitative relationships between students’ learning attitudes, interest, motivation, anxiety, and willpower and mathematics performance. Moreover, it proposed effective suggestions on the teaching of mathematics to improve students’ performance with the consideration of the impact of the above-mentioned factors.

关 键 词：高中生 非智力因素 数学成绩 线性回归 

分 类 号：G645[文化科学—高等教育学]