期刊名称:Social Sciences and Education Research Review
印刷版ISSN:2392-9863
电子版ISSN:2393-1264
出版年度:2019
卷号:6
期号:2
页码:6-30
出版社:Editura Sitech
摘要:The purpose of this research is to map out any differences regarding
attitudes towards mathematics among students at the Faculty of Economics and
Management, Norwegian University of Science and Technology (NTNU).
Approximately 200 students from three departments, Economics, Business
School, and Industrial Economics and Technology Management, answered a
survey about their attitudes towards mathematics.
Through factor analysis, a measuring instrument for ‘attitude towards
mathematics’ was constructed. The chosen methods were an independent
samples t-test and binary logistic regression.
This study sought to understand the impact of students’ attitudes towards
mathematics and how that affects their choices within economics and business
courses. Students at the Business School can choose different major courses in
third year. There is a substantial difference in attitudes towards mathematics
among those students. The findings suggest that students from Industrial
Economics and Technology Management have the highest self-confidence in
mathematics. Further, students with low self-confidence, value and enjoyment in mathematics tend to choose non-quantitative subjects such as marketing,
organisation and management, while students with high scores prefer finance
subjects.
This research confirms that those students who valued mathematics and
view it as useful, choose mathematic related studies. Furthermore, there is a link
between students’ attitudes towards mathematics (enjoyment, value and selfconfidence)
and their choice in further studies.
A student’s confidence and interest in a field of study is related to their
chosen major. One motivation is earlier experience within the field. If a student
achieves good grades and has success in mathematics, it creates a positive
attitude towards this subject and will influence the choice of studies.
关键词:attitudes towards mathematics; quantitative analysis;
business course major