BIG DATA TECHNOLOGIES AS A MEANS OF IMPROVING THE EFFECTIVENESS OF TRAINING SESSIONS IN SVE
DOI: 10.23951/2307-6127-2022-4-72-80
The results of a comparative analysis of the concepts of “human potential” and “human capital” in the context of considering the relevance and specifics of the use of Big Data technologies in education are presented. The materials of the article are prepared based on the use of methods of theoretical analysis, Big Data, observation, analysis of products of activity, testing of students to identify their abilities, comparison and analogy. The possibilities of big data as a means of increasing the effectiveness of educational practices are updated. The expediency of using Big Data in the educational process of secondary vocational education focused on the development of human potential is argued. The description of the features of the organization and the results of experimental work carried out on the basis of the Tomsk State Pedagogical College on the approbation of the author’s vision of the possibility of using Big Data technologies in the practice of educational work is given. The increase in the effectiveness of the training session of a professional educational organization when using Big Data in the context of providing conditions for the self-realization of each student is proved. The guidelines for the development of the experience of using Big Data technologies to enrich educational contexts of an anthropocentric orientation are set.
Keywords: human potential, human capital, secondary vocational education, artificial intelligence, big data, machine learning, Big Data
References:
1. Asmolov A. G. Psikhologiya sovremennosti: vyzovy neopredelennosti, slozhnosti i raznoobraziya [Anthropological turn: practical psychology of education as a driver of human personalization]. Psikhologicheskiye issledovaniya – Psychological Studies, 2015. vol. 8, no. 40 (in Russian).
2. Volgin H. A., Odegov Yu. G. Ekonomika truda: sotsial’no-trudovyye otnosheniya [Labor economics: social and labor relations]. Moscow, Ekzamen Publ., 2003. 736 p. (in Russian).
3. Bekker G. Chelovecheskiy kapital i lichnoye raspredeleniye dokhodov [Human capital and personal income distribution]. Moscow, Nauka Publ., 1964. 242 p. (in Russian).
4. Lemanova P. V. Sotsial’naya politika v upravlenii razvitiyem chelovecheskogo kapitala [Social policy in the management of human capital development]. Moscow, Ekzamen Publ., 2008. 436 p. (in Russian).
5. Tyunnikov Yu. S. Methodological Guidelines for Defining a Complex Psycho-Pedagogical Concept: A Case of the Definition of the Research Capacity of a Teacher in the Vocational Education System. European Journal of Contemporary Education, 2020, vol. 9 (4), pp. 915–923.
6. Fiofanova O. A. Analiz bol’shikh dannykh v sfere obrazovaniya: metodologiya i tekhnologii [Analysis of big data in education: methodology and technology]. Moscow, Delo Publ., 2020 (in Russian).
7. Online University Walden University. URL: https://www.waldenu.edu/online-masters-programs/ms-ineducation/resource/creative-ways-schools-are-using-artificial-intelligence (accessed 14 March 2022).
8. Internet-zhurnal Skillbox [Online magazine Skill Set] (in Russian). URL: https://skillbox.ru/media/business/onlayn_obrazovanie_posle_2020_goda_kakim_ono_budet_i_pochemu_eto_rabotaet/ (accessed 17 March 2022).
9. Oxford languages. URL: https://oxforddictionaries.com (accessed 17 March 2022).
10. Kalinyuk Yu. V., Smyshlyayeva L. G., Matveyev D. M. Proyektirovaniye izmeneniy v sisteme professional’nogo obrazovaniya regiona: klasternyy podkhod [Designing changes in the system of vocational education in the region: a cluster approach]. Nauchno-pedagogicheskoye obozreniye – Pedagogical Review, 2021, vol. 6 (40), pp. 84–94 (in Russian). DOI: 10.23951/2307-6127-2021-6-84-94
11. Fiofanova O. A. Big Data v rossiyskom obrazovanii: metody analiza dannykh ob obrazovanii i razvitii cheloveka, tsifrovyye servisy dannykh [Big data in Russian education: methods of data analysis on education and human development, digital data services]. Digital Society, 2020. Pp. 89–96 (in Russian).
12. Zhurnal global’nogo analiza rynka obrazovaniya Holon IQ [Journal of Global Education Market Analysis Holon IQ] (in Russian). URL: https://www.holoniq.com/edtech/10-charts-that-explain-the-global-education-technology-market/ (accessed 17 March 2022).
13. Programma personalizirovannogo obucheniya Century [The personalized learning program of the Century] (in Russian). URL: https://www.century.tech/ (accessed 17 March 2022).
14. Programma adaptivnogo obrazovaniya Squirrelai [The program of adaptive education Squirrelai] (in Russian). URL: http://squirrelai.com/ (accessed 18 March 2022).
( 449.17 kB ) 
( 436.59 kB )
Issue: 4, 2022
Series of issue: Issue 4
Rubric: SECONDARY VOCATIONAL EDUCATION
Pages: 72 — 80
Downloads: 551