THE DEGREE OF INFLUENCE OF GENETIC FACTORS ON THE UNDERSTANDING OF MATHEMATICS: ANALYSIS OF THE STUDENTS 'VIEW

• Main Authors: CHEREMUHIN, A.D, PRYAMKOV, M.S
• Format: Article
• Language: English
• Published: Association “Professional analytics of autopoiesis systems" 2021-02-01
• Series: Карельский Научный Журнал
• Online Access: https://repository.kvantor.org/public/105/3311

Currently, there is more and more research focused on the psychological aspects of teaching mathematics disciplines. At the same time, knowledge in other sciences allows one to learn to draw conclusions about the benefits of genetic factors on academic performance and understanding. The article summarizes the results of recent studies by foreign scientists on this topic. To solve the problem of studying the factors of influence on the understanding of mathematics and factors that influence this, a questionnaire was drawn up. After interviewing students using ANOVA tests, hypotheses about the influence of gender, education level and course of study on students' opinion were tested, and conclusions were drawn. After that, the influence of other indicators on the opinion of students was studied, in particular, self-assessment of their own knowledge in mathematics, the level of their own efforts in the study of mathematics, the knowledge of friends and classmates, assessments of teachers at school and teachers at a university, assessments of parents' understanding of mathematics, assessment of the similarity of understanding in parents and children. As a result, the most determining factors were identified, the main of which was self-assessment of the level of knowledge in mathematics. Based on the identified key factors, using multinomial logistic regression, the probabilities of choosing a particular answer were estimated depending on the three most significant factors. The resulting models were visualized, based on which the final conclusions were drawn. In conclusion, the authors put forward assumptions about the most promising areas of research