Menu: Home :: go to Journal :: switch to Russian :: switch to English
You are here: all Journals and Issues→ Journal→ Issue→ Article

The use of multifunctional statistical criteria in the development of technological aspects of self-design of students’ educational and professional activities

Annotation

Researchers in the humanities almost always have to deal with the problem of statistical processing of results and their interpretation. This is a rather laborious and painstaking work, which can be greatly simplified through the use of multifunctional statistical criteria. Within the framework of the study related to the problem of self-design of educational and professional activities of students, the analysis of the effectiveness of the introduction of technological elements using multifunctional criteria was carried out: φ* criterion – Fisher’s angular transformation and binomial criterion m. The statistical significance of the results of the introduction at a certain stage of the technology of the workshop is revealed, which makes it possible to study and apply the elements of self-management in the educational and professional activities of students. For promising purposes, it is proposed to create an automated system that implements the selection of the appropriate criterion for the problem to be solved and the verification of the statistical hypothesis put forward by the researcher.

Keywords

multifunctional criteria; technology; self-design; self-management; efficiency

Full-text in one file

Download

DOI

10.20310/1810-0201-2020-25-189-23-30

UDC

37.022+519.25

Pages

23-30

References

1. Kremer N.S. Matematicheskaya statistika [Math Statistics]. Moscow, Urait Publ., 2018, 259 p. (In Russian). 2. Ayvazyan S.A., Mkhitaryan V.S. Prikladnaya statistika. Osnovy ekonometriki: v 2 t. T. 1. Teoriya veroyatnostey i prikladnaya statistika [Applied Statistics. Fundamentals of Econometrics: in 2 vols. Vol. 1. Probability Theory and Applied Statistics]. Moscow, Unity Publ., 2001, 656 p. (In Russian). 3. Erina T.A. Etapy obucheniya studentov vuza samoproyektirovaniyu uchebno-professional’noy deyatel’nosti [Stages of training of high education institution students to self-management in learning and vocational activities]. Vestnik Tambovskogo universiteta. Seriya: Gumanitarnyye nauki – Tambov University Review. Series: Humanities, 2009, no. 2 (70), pp. 219-222. (In Russian). 4. Erina T.A. K voprosu ob obuchenii studentov vuza samoproyektirovaniyu uchebno-professional’noy deyatel’nosti [To a question of education students to self-design of the learning and professional activities]. Mir pedagogiki i psikhologii [World of Pedagogy and Psychology], 2018, no. 12 (29), pp. 96-100. (In Russian). 5. Gubler E.V. Vychislitel’nyye metody analiza i raspoznavaniya patologicheskikh posledstviy [Computational Methods of Analysis and Recognition of Pathological Consequences]. Leningrad, Meditsina Publ., 1978, 296 p. (In Russian). 6. Sidorenko E.V. Metody matematicheskoy obrabotki v psikhologii [Methods of Mathematical Processing in Psychology]. St. Petersburg, LLC “Rech” Publ., 2010, 350 p. (In Russian). 7. Nasledov A.D. Mnogomernyye metody matematicheskoy obrabotki v psikhologii [Multidimensional Methods of Mathematical Processing in Psychology]. St. Petersburg, Rech’ Publ., 2006. (In Russian).

Received

2020-02-18

Section of issue

Pedagogy of higher school

Для корректной работы сайта используйте один из современных браузеров. Например, Firefox 55, Chrome 60 или более новые.