PUSHKARYEVA T., KALITINA V., BORODINA T. MOBILE TECHNOLOGY INTEGRATION IN ENGINEERING EDUCATION. LIFELONG EDUCATION: The 21st Century.
2023. № 4 (44). DOI: 10.15393/j5.art.2023.8704


Issue 4 (44)

Innovative approaches to lifelong learning
pdf-version

MOBILE TECHNOLOGY INTEGRATION IN ENGINEERING EDUCATION

PUSHKARYEVA Tatyana P.
Doctor of Pedagogical Sciences, Associate Professor, Professor of the Department of Materials Science and Materials Processing Technology
Siberian Federal University
(Krasnoyarsk, Russian Federation)
a_tatianka@mail.ru
KALITINA Vera V.
Candidate of Pedagogical Sciences, Associate Professor of the Department of Information Technologies and Mathematical Support of Information Systems
Krasnoyarsk State Agrarian University
(Krasnoyarsk, Russian Federation)
vesik_kl@mail.ru
BORODINA Tatyana A.
Candidate of Economic Sciences, Associate Professor of the Department of Accounting and Statistics
Krasnoyarsk State Agrarian University
(Krasnoyarsk, Russian Federation)
rigik25@mail.ru
Keywords:
mobile technologies
integration of mobile technologies into the educational environment
mobile learning (m-learning)
educational process
mathematics
digital generation
systems approach
person-centered approach.		 Abstract: the training of engineering personnel has its own characteristics, namely that the engineer must have sufficiently developed technical abilities, which include the ability to operate visually with models of technical objects, correctly perceive and evaluate spatial models, and understand the general physical and technical principles of design and operation of equipment. It is quite difficult to form and develop such abilities if modern technical means are not used in training. The use of cloud technologies has long been considered an important element of engineering educational programs, but recently mobile technologies have begun to occupy an increasingly important place in life. The purpose of the work is to create a model for the integration of mobile technologies into the digital educational environment for training future engineers when teaching non-computer disciplines. The use of mobile learning (m-learning) has its advantages and disadvantages, however, it is currently an objective necessity and will allow achieving the best results at all stages of the educational process, since most students are characterized by clip thinking, an increased level of visual perception, and information overload, which does not allow integrate them into the traditional educational process. Testing of students studying mathematics in accordance with the proposed structural model showed that the use of mobile technologies significantly increases both the level of educational and cognitive interest and the level of knowledge in mathematics. The use of mobile technologies ensures the implementation of the basic principles of a person-centered approach to learning.
Paper submitted on: 10/17/2023; Accepted on: 12/11/2023; Published online on: 12/26/2023.

References

  1. Mobile economy of Russia 2017, RAEC [Electronic resource]. Electron. dan. URL: http://mobile2017.raec.ru/assets/raec_a4_mobileeconomica_a4_preview.pdf (date of acсess 20.09.2023). (In Russ.)
  2. The Mobile Economy 2018, GSMA Intelligence [Electronic resource]. Electron. dan. URL: https://www.gsma.com/northamerica/wp-content/uploads/2018/08/The-Mobile-Economy-2018.pdf (date of acсess 20.09.2023).
  3. Worldwide mobile app revenues in 2014 to 2023 (in billion U. S. dollars), Statista [Electronic resource]. Electron. dan. URL: https://www.statista.com/statistics/269025/worldwide-mobile-app-revenue-forecast/ (date of acсess 20.09.2023).
  4. Jobs in Apps Mobile Economy in the Nordics A Catalyst for Economic Growth, Copenhagen Economics [Electronic resource]. Electron. dan. URL: https://www.copenhageneconomics.com/dyn/resources/Publication/publicationPDF/7/397/1496910670/copenhagen-economics-2017-jobs-in-apps.pdf (date of acсess 20.09.2023).
  5. Kazaryan K., Sajkina M., Rozmirovich S., Medovnikov D. Mobile economy: the influence of mobile applications on the national economy, labor productivity and the employment market [Electronic resource]. Electron. dan. URL: https://imi.hse.ru/data/2020/04/03/1555974783/ecosystem-mobile-200324.pdf?ysclid=l6ekvi8j4d432207621 (date of acсess 20.09.2023). (In Russ.)
  6. Mobile technologies in industry [Electronic resource]. Electron. dan. URL: https://spark.ru/startup/543636819fd11/blog/40352/mobilnie-tehnologii-v-promishlennosti?ysclid=l6h7zl0czi709202316 (date of acсess 20.09.2023). (In Russ.) 
  7. Bruns A. Life beyond the public sphere: Towards a networked model for political deliberation [Electronic resource]. Information Polity. 2008. No 13. P. 71–85 Electron. dan. URL: https://www.researchgate.net/publication/27473068_Life_beyond_the_Public_Sphere_Towards_a_Networked_Model_for_Political_Deliberation (date of acсess 20.09.2023).
  8. Bhavnani A., Won-Wai Chiu R., Janakiram S., Silarszky P. The role of mobile phones in sustainable rural poverty reduction [Electronic resource]. Electron. dan. URL: https://www.kiwanja.net/database/document/report_mobiles_role_rural_poor.pdf (date of acсess 20.09.2023).
  9. Sobiraj E. E. Social aspects of mobile communication comparative perspective [Electronic resource]. Zhurnal issledovanij social'noj politiki [Journal of social Policy Research]. 2011. No. 4. P. 554–563. Electron. dan. URL: https://cyberleninka.ru/article/n/sotsialnye-aspekty-mobilnoy-kommunikatsii-sravnitelnaya-perspektiva (date of acсess 20.09.2023). (In Russ.)
  10. Kuklev V. A. Mobile learning: from theory to practice. Vysshee obrazovanie v Rossii [Higher education in Russia]. 2010. No. 7. P. 88–95. (In Russ.)
  11. Kumar Basak S., Wotto M., Belanger P. E-learning, M-learning and D-learning: Conceptual definition and comparative analysis. E-learning and Digital Media. 2018. Vol. 15. No. 4. P. 191–216.
  12. Qashou A. Influencing factors in M-learning adoption in higher education. Education and information technologies. 2021. Vol. 26. No. 2. P. 1755–1785.
  13. Malik S. [et al.]. Comparison of E-learning, M-learning and game-based learning in programming education–a gendered analysis. International Journal of Emerging Technologies in Learning (iJET). 2020. Vol. 15. No. 15. P. 133–146.
  14. Edeh Michael Onyema1, Udeze Ogechukwu Anthonia2, Edeh Chinecherem Deborah. Potentials of mobile technologies in enhancing the effectiveness of inquiry-based learning approach. International Journal of Education (IJE). 2019. No. 01. P. 1‒25. DOI: 10.5121/IJE.2019.1421
  15. Glotova M. Yu., Samohvalova E. A. Mobile technologies in education. Prepodavatel' XXI vek [Teacher XXI century]. 2022. No. 1.  Part 1. P. 138–149. DOI: 10.31862/2073-9613-2022-1-138-149 (date of acсess 26.09.2023). (In Russ.)
  16. Skryabina A. G., Zaharova R. A. The use of mobile applications in teaching school mathematics [Electronic resource]. Problemy sovremennogo pedagogicheskogo obrazovaniya [Problems of modern pedagogical education]. 2022. No. 77-3. Electronic. dan. URL: https://cyberleninka.ru/article/n/ispolzovanie-mobilnyh-prilozheniy-v-obuchenii-shkolnoy-matematike (date of acсess 26.09.2023). (In Russ.)
  17. Soboleva E. V., Surovceva V. A. Application of mobile technologies for the development of cognitive activity of students in solving practice-oriented problems in mathematics. Nauchno-metodicheskij elektronnyj zhurnal «Koncept» [Scientific and methodological electronic journal «Concept»]. 2020. No. 4 (April). P. 1–22. Electron. dan. URL: http://e-koncept.ru/2020/201023.htm (date of acсess 26.09.2023). (In Russ.)
  18. Maksimova O. A. Digital generation: lifestyle and identity construction in virtual space.  Vestnik Chelyabinskogo gosudarstvennogo universiteta [Bulletin of Chelyabinsk State University]. 2013. No. 22 (313). P. 6–10. (In Russ.)
  19. Pak N. I., Petrova I. A., Pushkareva T. P. Electronic course-constructor as a means of organizing personality-centered learning of students [Electronic resource]. Sovremennye problemy nauki i obrazovaniya [Sovremennye problemy nauki i obrazovaniya]. 2018. No. 2.  Electronic. dan. URL: http://www.science-education.ru/ru/article/view?id=27462 (date of acсess 20.09.2023). (In Russ.)
  20. Pushkareva T. P., Kalitina V. V. About algorithmic training of students of the direction of business informatics [Electronic resource]. Elektronnyj nauchno-obrazovatel'nyj vestnik Zdorov'e i obrazovanie v XXI veke [Electronic scientific and educational bulletin of Health and education in the XXI century]. 2016. Vol. 18. No. 3. P. 37–42. Electron. dan. URL: https://elibrary.ru/download/elibrary_25741139_26032845.pdf (date of acсess 20.09.2023). (In Russ.)

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DOI: http://dx.doi.org/10.15393/j5.art.2023.8704