Будь ласка, використовуйте цей ідентифікатор, щоб цитувати або посилатися на цей матеріал: http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3860
Повний запис метаданих
Поле DCЗначенняМова
dc.contributor.authorHlushak, Oksana M.-
dc.contributor.authorSemenyaka, Svetlana O.-
dc.contributor.authorProshkin, Volodymyr V.-
dc.contributor.authorSapozhnykov, Stanislav V.-
dc.contributor.authorLytvyn, Oksana S.-
dc.date.accessioned2020-07-27T18:27:40Z-
dc.date.available2020-07-27T18:27:40Z-
dc.date.issued2020-07-20-
dc.identifier.citationHlushak O. M. The usage of digital technologies in the university training of future bachelors (having been based on the data of mathematical subjects) / Oksana M. Hlushak, Svetlana O. Semenyaka, Volodymyr V. Proshkin, Stanislav V. Sapozhnykov, Oksana S. Lytvyn // Proceedings of the 7th Workshop on Cloud Technologies in Education (CTE 2019), Kryvyi Rih, Ukraine, December 20, 2019 / Edited by : Arnold E. Kiv, Mariya P. Shyshkina // CEUR Workshop Proceedings. – Vol. 2643. – P. 210–224. – Access mode : http://ceur-ws.org/Vol-2643/paper11.pdfuk_UA
dc.identifier.issn1613-0073-
dc.identifier.urihttp://ceur-ws.org/Vol-2643/paper11.pdf-
dc.identifier.urihttp://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3860-
dc.identifier.urihttps://doi.org/10.31812/123456789/3860-
dc.description1. Astafieva M., Bodnenko, D., Proshkin, V.: Cloud-oriented Training Technologies as a Means of Forming the XXI Century Skills of Future Mathematics Teachers. CEUR Workshop Proceedings 2387, 507–512 (2019) 2. Astafieva, M.M., Bodnenko, D.M., Proshkin, V.V.: Using computer oriented geometry means in the process of critical thinking formation of future mathematics teachers. Information Technologies and Learning Tools 71(3), 102–121 (2019). doi:10.33407/itlt.v71i3.2449 3. Astafieva, M.M., Zhyltsov, O.B., Proshkin, V.V., Lytvyn, O.S.: E-learning as a mean of forming students’ mathematical competence in a research-oriented educational process. In: Kiv, A.E., Shyshkina, M.P. (eds.) Proceedings of the 7th Workshop on Cloud Technologies in Education (CTE 2019), Kryvyi Rih, Ukraine, December 20, 2019, CEUR-WS.org, online (2020, in press) 4. Asteriou, D., Hall, S.G.: Applied Econometrics, 2nd edn. Macmillan, New York (2011) 5. Brooke, C., McKinney, P., Donoghue, A.: Provision of Distance Learner Support Services at U.K. Universities: Identification of Best Practice and Institutional Case Study. Library Trends 61(3), 613–635 (2013). doi:10.1353/lib.2013.0003 6. Burgerová, J., Adamkovičová, M.: Vybrané aspekty komunikačnej dimenzie e-learningu (Selected aspects of communication dimension in e-learning). University in Prešov, Prešov (2014) 7. Council Recommendation of 22 May 2018 on Key Competences for Lifelong Learning. Official Journal of the European Union (2018). https://eur-lex.europa.eu/legalcontent/EN/TXT/PDF/?uri=CELEX:32018H0604%2801%29 (2018). Accessed 28 Nov 2019 8. Drijvers, P., Kieran, C., Mariotti, M.A., Ainley, J., Andresen, M., Chan, Y.C., Dana-Picard, T., Gueudet, G., Kidron, I., Leung, A., Meagher, M.: Integrating Technology into Mathematics Education: Theoretical Perspectives. In: Hoyles, C., Lagrange, J.-B. (eds.) Mathematics Education and Technology – Rethinking the Terrain, pp. 89–132. Springer, Boston (2009). doi:10.1007/978-1-4419-0146-0_7 9. Hlushak, O.M., Proshkin, V.V., Lytvyn, O.S.: Using the e-learning course “Analytic Geometry” in the process of training students majoring in Computer Science and Information Technology. In: Kiv, A.E., Soloviev, V.N. (eds.) Proceedings of the 6 th Workshop on Cloud Technologies in Education (CTE 2018), Kryvyi Rih, Ukraine, December 21, 2018. CEUR Workshop Proceedings 2433, 472–485. http://ceur-ws.org/Vol2433/paper32.pdf (2019). Accessed 10 Sep 2019 10. Kiv, A., Semerikov, S., Soloviev, V., Kibalnyk, L., Danylchuk, H., Matviychuk, A.: Experimental Economics and Machine Learning for Prediction of Emergent Economy Dynamics. In: Kiv, A., Semerikov, S., Soloviev, V., Kibalnyk, L., Danylchuk, H., Matviychuk, A. (eds.) Experimental Economics and Machine Learning for Prediction of Emergent Economy Dynamics, Proceedings of the Selected Papers of the 8th International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2 2019), Odessa, Ukraine, May 22-24, 2019. CEUR Workshop Proceedings 2422, 1–4. http://ceurws.org/Vol-2422/paper00.pdf (2019). Accessed 1 Aug 2019 11. Kiyanovska, N., Rashevska, N.: Using LMS for supporting training mathematics in higher education. Metallurgical and Mining Industry 7(9), 593–598 (2015) 12. Kyslova, M.A., Semerikov, S.O., Slovak, K.I.: Development of mobile learning environment as a problem of the theory and methods of use of information and communication technologies in education. Information Technologies and Learning Tools 42(4), 1–19 (2014). doi:10.33407/itlt.v42i4.1104 13. Kyslova, M.A., Slovak, K.I.: Method of using mobile learning environments in teaching mathematics of future electromechanical engineer. Information Technologies and Learning Tools 51(1), 77–94 (2016). doi:10.33407/itlt.v51i1.1360 14. Modlo, Ye.O., Semerikov, S.O., Bondarevskyi, S.L., Tolmachev, S.T., Markova, O.M., Nechypurenko, P.P.: Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. In: Kiv, A.E., Shyshkina, M.P. (eds.) Proceedings of the 2nd International Workshop on Augmented Reality in Education (AREdu 2019), Kryvyi Rih, Ukraine, March 22, 2019. CEUR Workshop Proceedings 2547, 217–240. http://ceur-ws.org/Vol2547/paper16.pdf (2020). Accessed 10 Feb 2020 15. Mykhalevych, V.M., Tyutyunnik, O.I.: Design of educational problems on linear programming using systems of computer mathematics. Information Technologies and Learning Tools 38(6), 123–137 (2013). doi:10.33407/itlt.v38i6.896 16. Országhová, D.: The Application of Computational Tools of IT in Mathematical Tasks. In: Smyrnova-Trybulska, E. (ed.) Effective Development of Teachers’ Skills in the Area of ICT, pp. 438–448. Studio-Noa for University of Silesia, Katowice-Cieszyn (2017) 17. Pedace, R.: Econometrics for Dummies. Wiley, Hoboken (2013) 18. Proekt Tsyfrova adzhenda Ukrainy – 2020 (“Tsyfrovyi poriadok dennyi”–2020). Kontseptualni zasady (versiia 1.0). Pershocherhovi sfery, initsiatyvy, proekty “tsyfrovizatsii” Ukrainy do 2020 roku (Digital Agenda of Ukraine Project - 2020 (“Digital Agenda” - 2020). Conceptual principles (version 1.0). Priority areas, initiatives, projects of “digitalization” of Ukraine until 2020). http://ucci.org.ua/uploads/files/58e78ee3c3922.pdf (2016). Accessed 28 Nov 2019 19. Pursky, O., Dubovyk, T., Gamova, I., Buchatska, I.: Computation Algorithm for Integral Indicator of Socio-Economic Development. In: Ermolayev, V., Mallet, F., Yakovyna, V., Kharchenko, V., Kobets, V., Korniłowicz, A., Kravtsov, H., Nikitchenko, M., Semerikov, S., Spivakovsky, A. (eds.) Proceedings of the 15th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer (ICTERI, 2019), Kherson, Ukraine, June 12-15 2019, vol. II: Workshops. CEUR Workshop Proceedings 2393, 919–934. http://ceur-ws.org/Vol2393/paper_267.pdf (2019). Accessed 30 Jun 2019 20. Rashevska, N., Tkachuk, V.: Using LMS for supporting training mathematics in higher education. Metallurgical and Mining Industry 7(9), 593–598 (2015) 21. Semerikov, S.O., Slovak, K.I.: Theory and method using mobile mathematical media in the process of mathematical education higher mathematics students of economic specialties. Information Technologies and Learning Tools 21(1) (2011). doi:10.33407/itlt.v21i1.413 22. Slovak, K.I.: Methodology of separate components formation of mobile mathematical environment “Higher mathematics”. Information Technologies and Learning Tools 30(4) (2012). doi:10.33407/itlt.v30i4.687 23. Soloviev, V.N., Moiseenko, N.V., Tarasova, O.Yu: Modeling of Cognitive Process Using Complexity Theory Methods. In: Ermolayev, V., Mallet, F., Yakovyna, V., Kharchenko, V., Kobets, V., Korniłowicz, A., Kravtsov, H., Nikitchenko, M., Semerikov, S., Spivakovsky, A. (eds.) Proceedings of the 15th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer (ICTERI, 2019), Kherson, Ukraine, June 12-15 2019, vol. II: Workshops. CEUR Workshop Proceedings 2393, 905–918. http://ceur-ws.org/Vol2393/paper_356.pdf (2019). Accessed 30 Jun 2019 24. State Statistics Service of Ukraine. http://www.ukrstat.gov.ua (2019). Accessed 28 Nov 2019-
dc.description.abstractThis article demonstrates that mathematics in the system of higher education has outgrown the status of the general education subject and should become an integral part of the professional training of future bachelors, including economists, on the basis of intersubject connection with special subjects. Such aspects as the importance of improving the scientific and methodological support of mathematical training of students by means of digital technologies are revealed. It is specified that in order to implement the task of qualified training of students learning econometrics and economic and mathematical modeling, it is necessary to use digital technologies in two directions: for the organization of electronic educational space and in the process of solving applied problems at the junction of the branches of economics and mathematics. The advantages of using e-learning courses in the educational process are presented (such as providing individualization of the educational process in accordance with the needs, characteristics and capabilities of students; improving the quality and efficiency of the educational process; ensuring systematic monitoring of the educational quality). The unified structures of “Econometrics”, “Economic and mathematical modeling” based on the Moodle platform are the following ones. The article presents the results of the pedagogical experiment on the attitude of students to the use of e-learning course (ELC) in the educational process of Borys Grinchenko Kyiv University and Alfred Nobel University (Dnipro city). We found that the following metrics need improvement: availability of time-appropriate mathematical materials; individual approach in training; students’ self-expression and the development of their creativity in the e-learning process. The following opportunities are brought to light the possibilities of digital technologies for the construction and research of econometric models (based on the problem of dependence of the level of the Ukrainian population employment). Various stages of building and testing of the econometric model are characterized: identification of variables, specification of the model, parameterization and verification of the statistical significance of the obtained results.uk_UA
dc.language.isoenuk_UA
dc.publisherArnold E. Kiv, Mariya P. Shyshkinauk_UA
dc.subjectdigital technologiesuk_UA
dc.subjecte-learning courseuk_UA
dc.subjecteconomic and mathematical modellinguk_UA
dc.subjecteconometricsuk_UA
dc.subjectuniversity traininguk_UA
dc.subjectfuture bacheloruk_UA
dc.titleThe usage of digital technologies in the university training of future bachelors (having been based on the data of mathematical subjects)uk_UA
dc.typeArticleuk_UA
Розташовується у зібраннях:Кафедра інформатики та прикладної математики

Файли цього матеріалу:
Файл Опис РозмірФормат 
paper11.pdfarticle1.2 MBAdobe PDFПереглянути/Відкрити


Усі матеріали в архіві електронних ресурсів захищені авторським правом, всі права збережені.