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April 2021, № 2 (230), pages 76-82

doi: 10.25198/1814-6457-230-76

Gerasimenko S.A., Pavlenko A.N. DEDUCTIVE-EMPIRICAL APPROACH TO THE STUDY OF MATHEMATICAL CYCLE DISCIPLINES IN NATURAL SCIENCE COURSE IN MATHCADNowadays, the main trends in the reform of higher education naturally lead to a significant decrease of classes in the educational process, which negatively affects the study of the disciplines of the mathematical cycle due to their abstraction and often complexity of material presentation. Thus, there is a need to increase the effectiveness of contact work and to strengthen the role of independent study of students.
One of the factors contributing to improving the effectiveness of contact work is the preliminary propedeutic independent study of the material when applying the empirical component of the deductive-empirical approach to teaching higher mathematics.
The proposed new deductive-empirical approach to the organization of non-auditory independent work in the study of the disciplines of the mathematical cycle by students of natural sciences should include the following directions/stages: 1) providing historical information on the empirical approach to solve mathematical problems arising in solving natural science and technical problems, 2) experiments leading to the expediency of introducing new concepts and experiments illustrating definitions, 3) empirical justification of difficult-to-prove and not obviously feasible theorems, 4) application of experimental method to find numerical values of quantities, 5) use of the experimental method to illustrate and check the results of solving a problem, 6) monitoring the effectiveness of applying a deductive-empirical approach to teaching mathematics.
To increase the efficiency of propedeutic independent study, it is necessary to use appropriate methodological support. And the last (depending on the section being studied), you can use interactive methodological guidelines integrated with applications written in various high-level languages, emulators of devices for conducting mathematical experiments, etc.
Thus, students of natural sciences should study mathematical disciplines in the inextricable unity of the traditional deductive presentation of educational material with an empirical approach to learning with the wide use of interactive technologies.
Key words: deductive-empirical approach to learning, propedeutic study, extracurricular independent study, information technologies, methods of teaching mathematics in higher education.

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References:

1. European Higher Education Area and Bologna Process. Available at: https://ehea.info/

2. Krasovsky N.N. Reflections on mathematical education. Izvestiya Ural'skogo universiteta [Bulletin of the Ural University], 2003, no. 27, series — Problems of education, science and culture, issue 14, pp. 5–12.

3. Journal “Experimental Mathematics”. Available at: https://www.tandfonline.com/loi/uexm20.

4. Borwein J., Bailey D. Mathematics by Experiment: Plausible Reasoning in the 21st Century. AK Peters, 2003, 350 p.

5. Fikhtengolts G.M. Kurs differencial'nogo i integral'nogo ischisleniya [Course of differential and integral calculus]. M .: Fizmatlit, 2007, vol. 1, 680 p. ISBN 978-5-9221-0436-4.

6. Bakhvalov N.S., Zhidkov N.P., Kobelkov G.M. CHislennye metody: uchebnoe posobie dlya vuzov [Numerical methods: textbook for universities]. Moscow State University M.V. Lomonosov. 6th ed. M.: Binom, 2008, 636 p. ISBN 978-5-94774-815-4.

7. Gerasimenko S.A., Pavlenko A.N. On the organization of propaedeutic study of disciplines of the mathematical cycle of natural science and engineering directions. Vestnik Orenburgskogo gosudarstvennogo universiteta [Bulletin of the Orenburg State University], 2020, no. 2 (225), pp. 12-17.

8. Apokin I.A., Maistrov L.E. Razvitie vychislitel'nyh mashin [Development of computers]. Moscow: Nauka, 1974, 399 p.

9. Berezin S.I. Schetnaya logarifmicheskaya linejka [Counting logarithmic ruler]. 4th ed., rev. and add. L .: Mechanical engineering, 1968, 54 p.

10. Simulated Pickett N909-ES Slide Rule. Available at: http://www.antiquark.com/sliderule/sim/n909es/virtual-n909-es.html

11. Appel K., Haken W. Every Planar Map Is Four Colorable. Contemporary Mathematics. Providence (R.I.): Amer. Math Soc., 1989, vol. 98, 308 p.

12. GeoGebra Math Apps. Get our free online math tools for graphing, geometry, 3D, and more! Available at: https://www.geogebra.org

13. Uchimsya rabotat' s “Matematicheskim konstruktorom” [Learning to work with the “Mathematical constructor”]. Available at: https://mat.1sept.ru/view_article.php?id=200901306

14. Introducing GXWeb. The power of Geometry Expressions, now available in your browser — for free! Available at: https://www.geometryexpressions.com

15. Kiryanov D.V. Mathcad 15 / Mathcad Prime 1.0. SPb.: BHV-Petersburg, 2012, 432 p. ISBN 978-5-9775-0746-2.

16. Ryabushko A.P. at al., Ryabushko A.P. (ed.) Sbornik individual'nyh zadanij po vysshej matematike: V 3 ch. [Collection of individual assignments in higher mathematics: 3 parts]. Minsk: Vysheysh. shk., 1990, , part 1, 270 p.

17. Gerasimenko S.A., Pavlenko A.N. About the organization of propaedeutic study of disciplines of the mathematical cycle of natural science and engineering directions. Vestnik Orenburgskogo gosudarstvennogo universiteta [Bulletin of the Orenburg State University], 2020, no. 2 (225), pp. 12-17.

18. Fikhtengolts G.M. Kurs differencial'nogo i integral'nogo ischisleniya [Course of differential and integral calculus]. M .: Fizmatlit, 2007, vol. 1, 680 p. ISBN 978-5-9221-0436-4; vol. 2, 2006, 864 p. ISBN 978-5-9221-0466-1; vol. 3, 2008, 728 p. ISBN 5-9221-0737-2.

19. Wentzel E.S. Teoriya veroyatnostej: uchebnik dlya stud. vuzov [Probability theory: a textbook for students]. M: Publishing Center “Academy”, 2005, 576 p.

20. Pulkin S.P., Nikolskaya L.N., Dyachkov A.S. Vychislitel'naya matematika [Computational mathematics]. Moscow: Education, 1980, 176 p.

21. Pavlenko A.N., O.A. Pikhtilkova, A.G. Chetverikova On the organization of the introductory course “Mathematical processing of experimental data”. Vestnik Orenburgskogo gosudarstvennogo universiteta [Bulletin of the Orenburg State University], 2015, no. 7, pp. 120-124.

22. Farlow S.; translated from English A.I. Plis; Pokhozhaev S.I. (Ed.) Uravneniya s chastnymi proizvodnymi dlya nauchnyh rabotnikov i inzhenerov [Partial Differential Equations for Scientists and Engineers]. M.: Mir, 1985, 383 p.

23. Kruchinin V.V. Using AND / OR trees for generating questions and tasks. Vestnik Tomskogo gosudarstvennogo universiteta [Bulletin of the Tomsk State University], 2004, no. 284, pp. 183-186.

24. Laptev V.V., Tolasova V.V. Generation of options for tasks for laboratory work on programming. Vestnik Astrahanskogo gosudarstvennogo tekhnicheskogo universiteta [Bulletin of the Astrakhan State Technical University], series: Management, Computer Engineering and Informatics, 2010, no. 1, pp. 127-131.

25. Zorin Yu.A. The use of combinatorial generation algorithms in the construction of test task generators. Distancionnoe i virtual'noe obuchenie [Distance and virtual learning], 2013, no. 6, pp. 54-59.


About this article

Authors: Gerasimenko S.A., Pavlenko A.N.

Year: 2021

doi: 10.25198/1814-6457-230-76

Editor-in-chief
Sergey Aleksandrovich
MIROSHNIKOV

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