VISUAL THINKING OF STUDENTS AND MEANS OF ITS DEVELOPMENT

Authors

DOI:

https://doi.org/10.31110/ITandEA-v.2024.v2.01

Keywords:

visual thinking, visual task, visual search, cubic equation, cubic function, derivative of a function

Abstract

A significant body of scientific and methodological research is dedicated to orchestrating learning by harmonizing the functions of both the left and right hemispheres. They include cultivating various forms of thinking, focusing on visual-figurative and logical thinking. The research object is the students’ visual thinking and means of its development.

Materials and methods. The research, which draws from pedagogical and methodical literature and the insights of foreign and domestic scientists, is deeply rooted in practical application in educational settings. The research process involved empirical methods (observation, verification, experiment) and general scientific methods (analysis, synthesis, concretization, systematization, generalization).

Results. We have developed recommendations on the methodology for developing visual-figurative thinking for students in mathematics lessons. We showed that studying algebra and analysis is also relevant to improving the methods for developing visual-figurative thinking and methodological materials for extracurricular work. By studying graphs of the cubic function, we demonstrated how we could enhance visual-figurative thinking.

Conclusions. Our research demonstrates that educational material about the location of the roots of a cubic equation has significant implications for educators and researchers. It helps develop students' visual thinking and formulate visual tasks, organizing students' mathematical activities and helping them understand how to carry out proofs.

References

Arnheim, R. (1981). Visual thinking. Reader in general psychology. Psychology of thinking, 173-180.

Bezugliy, D. (2014). Receive a visual presentation of initial information. Physics and Mathematics Education, 2(3), 7-15.

Blake, S., Pape, S., & Choshanov, M. A. (2004). Ispol'zovanie dostizheniy neuropsikhologii v pedagogike USA. Pedagogy. 5, 85-90.

Bragina, N. N., & Dobrokhotova, T. A. (1988). Functional asymmetries of a person. Open Joint Stock Company Publishing House Medicine.

Dalinger, V. A. (2006). Cognitive-visual approach and its features in teaching mathematics. Electron. scientific journal "Bulletin of the OGPU.

Fikhtengolts, G. M. (1955). Fundamentals of mathematical analysis. Ripol Classic.

Firer, A. V. (2018). Development of cognitive universal educational actions of primary school students when teaching the concepts of the functional line of algebra by means of visualization (Doctoral dissertation, Siberian Federal University).

Mirzaakhmedov M.A. et at. (2018). Mathematics. Textbook for the 11th grade of secondary educational institutions and institutions of secondary special, vocational education. Tashkent. Zamin found

Reznik, N. A. (2000). Technology of visual thinking. School Technologies, 4, 127-141.

Semenikhina, O.V. (2016). Professional readiness of the future teacher of mathematics to use programs of dynamic mathematics: theoretical and methodological aspects: monograph. Sumy: VDP "Mriya".

Shekhter, M.S. (1981). Visual identification. Patterns and mechanisms. M.: Pedagogy.

Turgunbaev, R.M., & Yoldoshev, E.A. (2004). Problems on the location of the roots of a quadratic equation. FMI, 6(2).

Zaitov A. et al. (2022). Algebra and the beginnings of analysis. Textbook for grade 10 schools of general secondary education. Tashkent. Republican Education Center.

Zimmermann, W., & Cunningham, S. (1991). Visualization in Teaching and Learning Mathematics. Washington, DC: Mathematical Association of America.

Zinchenko, V. P., & Vergiles, N. Yu. (1969). Formation of a visual image: (Study of the activity of the visual system). Moscow publishing house. University.

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Published

2024-07-31

How to Cite

Abdiyeva, S., & Turgunbaev, R. (2024). VISUAL THINKING OF STUDENTS AND MEANS OF ITS DEVELOPMENT. IT and Educational Analytics, 1(2), 4-13. https://doi.org/10.31110/ITandEA-v.2024.v2.01