IMPLEMENTATION OF SMART COMPLEXES IN THE TRAININGOF PROSPECTIVE TEACHERS

Authors

DOI:

https://doi.org/10.31652/2412-1142-2023-70-175-188

Keywords:

smart education; professional training of prospective teachers; principles of smart education; a smart complex

Abstract

The article revealed the features of smart education as a leading concept for the development of professional training of prospective teachers. The main components of smart education, such as a smart student, smart pedagogy and smart environment, were characterized. The main principles of smart education and the features of using smart technologies were defined. The authors substantiated the peculiarities of the implementation of smart education in the conditions of the COVID-19 pandemic and the war in Ukraine. The functions of the smart system (site management system) and the smart complex in the process of studying the disciplines of the pedagogical cycle, their content and technological components were determined. The possibilities of smart complexes for students and teachers in the educational process of training prospective teachers were described. The criteria of smart complexes were singled out, among them: automation, sequence, assessment, real-time data collection, self-organization. The main advantages of smart complexes were determined, including: instant response to external changes, openness; expansion due to the integration of new functionality; easy access to educational material, mobility; ensuring compatibility between software for different operating systems; lack of dependence on time and place; constant updating of the content, the possibility of self-control and assessment of students’ knowledge. The authors considered the distance learning systems for creating smart complexes for studying the disciplines of the pedagogical cycle in the process of training prospective teachers. The results of the students’ survey on the use of smart complexes in the educational process were analyzed. Based on the obtained results, the advantages of smart education were determined: time saving, clarity, efficiency of use in distance learning conditions, etc., and the problems of using smart technologies in the educational process were described. The ways of further research work on the introduction of smart education into the educational process of pedagogical higher education were outlined.

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Author Biographies

  • Natalia Dmitrenko

    Doctor of Pedagogical Sciences, Professor of the Department of Methods of Teaching Foreign Languages, Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Vinnytsia, Ukraine

  • Svitlana Kizim

    Candidate of Pedagogical Sciences, Associate Professor, Associate Professor of the Department of Innovative and Information Technologies in Education, Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Vinnytsia, Ukraine

  • Oksana Voloshyna

    Candidate of Pedagogical Sciences, Associate Professor, Associate Professor of the Department of Pedagogy, Vocational Education and Educational Institutions’ Management, Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Vinnytsia, Ukraine

  • Galyna Gordiichuk

    Vice Dean of the Institute, Candidate of Pedagogical Sciences, Associate Professor, Vinnytsia State Pedagogical University named after Mykchaylo Kotsyubynskiy, Vinnytsia, Ukraine

References

Iqbal, H.M.N., Parra-Saldivar, R., Zavala-Yoe, R., Ramirez-Mendoza, R.A. (2020). Smart educational tools and learning management systems: supportive framework. International Journal on Interactive Design and Manufacturing, 14, 1179–1193. Available from: https://doi.org/10.1007/s12008-020-00695-4.

Hoel, T., Mason, J. (2018). Standards for smart education–towards a development framework. Smart Learn. Environ, 5, 3. Available from: https://doi.org/10.1186/s40561-018-0052-3.

Demir, K. A. (2021). Smart education framework. Smart Learn. Environ, 8, 29. Available from: https://doi.org/10.1186/s40561-021-00170-x.

Zhu, Z. T., Yu, M. H., & Riezebos, P. (2016). A research framework of smart education. Smart Learning Environments, 3(1), 4. Available from: https://doi.org/10.1186/s40561-016-0026-2.

Jang, S. (2014). Study on service models of digital textbooks in cloud computing environment for SMART education. International Journal of u- and e-Service, Science and Technology, 7(1), 73–82. Available from: https://doi.org/10.14257/ijunesst.2014.7.1.07.

Shoikova, E., Nikolov, R., & Kovatcheva, E. (2017). Conceptualising of smart education, E+E, 52(3-4), 29–37.

Alajmi, Q., Al-Sharafi, M.A., Abuali, A. (2020). Smart learning gateways for Omani HEIs towards educational technology: benefits, challenges and solutions. Int. J. Inform. Technol. Lang. Stud. 4(1), 12–17.

Aker, M., Herrera, L.J.P. (2020). Smart literacy learning in the twenty-first century: facilitating PBSL pedagogic collaborative clouds. In: Yu S., Ally M., Tsinakos A. (eds.) Emerging Technologies and Pedagogies in the Curriculum, pp. 429–445. Springer, Singapore.

Budhrani, K., Ji, Y., Lim, J.H. (2018). Unpacking conceptual elements of smart learning in the Korean scholarly discourse. Smart Learn. Environ, 5(1), 23.

Dmitrenko, N., Voloshyna, O., Kizim, S., Mnyshenko, K., & Nahorniak, S. (2023). Smart Education in the Prospective Teachers’ Training. CTE Workshop Proceedings of ACNS Conference on Cloud and Immersive Technologies in Education, 3364, 10, 38–53. Available from: https://doi.org/10.55056/cte.v10.

Zhu, Z. T., Sun, Y., & Riezebos, P. (2016). Introducing the smart education framework: Core elements for successful learning in a digital world. International Journal of Smart Technology and Learning, 1(1), 53–66. Available from: https://doi.org/10.1504/IJSMARTTL.2016.078159.

Uskov, V.L., Bakken, J.P., Pandey, A. (2015). The Ontology of Next Generation Smart Classrooms. In: L. Uskov V., Howlett R., Jain L. (eds.) Smart Education and Smart e-Learning. Smart Innovation, Systems and Technologies, 41, 3–14.

Bajaj, R., & Sharma, V. (2018). Smart education with artificial intelligence-based determination of learning styles. Procedia Computer Science, 132, 834–842. Available from: https://doi.org/10.1016/j.procs.2018.05.095.

Dmitrenko, N., Voloshyna, O., Melnyk L., Hrebenova V., & Mazur I. (2022). The Teacher’s Role in the Context of Information Society. International Journal of Computer Science and Network Security, 22(6), 187-193. Available from: https://doi.org/10.22937/IJCSNS.2022.22.6.27.

Hwang, G.J., Tsai, C.C., & Yang, S.J. (2008). Criteria, strategies and research issues of context-aware ubiquitous learning. J. Educ. Technol. Soc. 11(2), 81–91.

Hwang, G. J. (2014). Definition, framework and research issues of smart learning environments-a contextaware ubiquitous learning perspective. Smart Learn. Environ. 1(1), 4. Available from: https://doi.org/10.1186/s40561-014-0004-5.

Gurevych, R. S., Dmitrenko, N. Ye., Petrova, A. I., Podzygun, O. A., & Opushko, N. R. (2022). Use of an etextbook for pre-service teachers in autonomous learning of English for specific purposes. Information Technologies and Learning Tools, 89(3), 64-77. Available from: https://doi.org/10.33407/itlt.v89i3.4941.

Huang, Y. M., Lin, Y. T., & Cheng, S. C. (2010). Effectiveness of a mobile plant learning system in a science curriculum in Taiwanese elementary education. Comput. Educ. 54(1), 47–58.

Spector, J. M., & SLFG (The Smart Learning Futures Group). (2018). Smart Learn. Environ, 5, 5. Available from: https://doi.org/10.1186/s40561-018-0054-1. 20. Anttila, J., & Jussila, K. (2018). Universities and smart cities: The challenges to high quality. Total Quality Management & Business Excellence, 29, 1058–1073.

Gomede, E., Gaffo, F. H., Briganó, G. U., Mendes, L.S., & Barros, R. M. (2018). Application of computational intelligence to improve education in smart cities. Sensors (Switzerland), 18.

Salah, A.-M., Lela, M., & Al-Zubaidy, S. (2014). Smart education environment system. Computer Science & Telecommunications, 44, 21–26.

Spector, J. M. (2018). Smart Learning Environments: Potential and Pitfalls. In: Persichitte K., Suparman A., Spector V. (eds.) Educational Technology to Improve Quality and Access on a Global Scale. Educational Communications and Technology: Issues and Innovations. Springer, Chan. Pp. 33–42.

Dong, U. I., Jong, O. L. (2013). Mission-type Education Programs with Smart Device Facilitating. International Journal of Multimedia and Ubiquitous Engineering, 8(2), 152–156.

Gabriela, K., Nadezhda, A., & Lina, Y. (2018). The potential of augmented reality to transform education into smart education. TEM Journal, 7(3), 556–565.

Karakose, T., Yirci, R., & Papadakis, S. (2022). Examining the Associations between COVID-19-Related Psychological Distress, Social Media Addiction, COVID-19-Related Burnout, and Depression among School Principals and Teachers through Structural Equation Modeling. International Journal of Environmental Research and Public Health, 19(4), 1951. Available from: http://dx.doi.org/10.3390/ijerph19041951.

Karakose, T., Polat, H., & Papadakis, S. (2021). Examining Teachers’ Perspectives on School Principals’ Digital Leadership Roles and Technology Capabilities during the COVID-19 Pandemic. Sustainability, 13(23), 13448. Available from: http://dx.doi.org/10.3390/su132313448.

Klichowski, M., Bonanno, P., & Jaskulska, S. (2015). CyberParks as a New Context for Smart Education: Theoretical Background, Assumptions, and Pre-service Teachers’ Rating. American Journal of Educational Research, 3(12), 1–10.

Published

2024-02-06

How to Cite

IMPLEMENTATION OF SMART COMPLEXES IN THE TRAININGOF PROSPECTIVE TEACHERS. (2024). Modern Information Technologies and Innovation Methodologies of Education in Professional Training Methodology Theory Experience Problems, 70, 175-188. https://doi.org/10.31652/2412-1142-2023-70-175-188

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