Professional training of computer science teachers through the system of staged continuing education
DOI:
https://doi.org/10.46502/issn.1856-7576/2025.19.01.11Keywords:
Continuing education, teacher training, computer science, educational technology, pedagogical competence, digital platforms, technical literacyAbstract
The aim of the study is to assess the effectiveness of staged continuing education in the formation of professional competencies of computer science teachers and its impact on adaptation to digital technologies. The research methods included questionnaire surveys of teachers with different work experience, a pedagogical experiment with division into control and experimental groups, analysis of learning outcomes, and statistical assessment of the impact of digital technologies on teaching. The results of the study showed that the staged education system significantly increases digital literacy (+38%), the integration of STEM methodologies (+34%), and the effectiveness of adaptive curricula (+29%). The best indicators were demonstrated by teachers with 5–8 years of experience, who were able to combine technological training with practical experience. The findings prove the effectiveness of the implementation of staged education for the development of technical and pedagogical competencies. The academic novelty is the developed integrated training model that combines adaptive programmes, digital platforms, and interactive methods. Further research prospects include a long-term analysis of the effectiveness of this model in training teachers of other subjects and expanding its capabilities by integrating artificial intelligence and virtual reality.
References
Abar, C., Dos Santos, J., & Vieira, M. (2021). Computational thinking in basic school in the age of artificial intelligence: Where is the teacher? Acta Scientiae, 23(6), 270-299. https://doi.org/10.17648/acta.scientiae.6869
Akhsutova, A., Kasymaliev, M., Toikenov, G., Avdarsol, S., & Orazbekov, Z. (2024). Methodical system of teaching students computer science: Competence-based approach. Scientific Herald of Uzhhorod University. Series "Physics", 55, 961-971. https://doi.org/10.54919/physics/55.2024.96dp1
Alazzam, F. A. F., Shakhatreh, H. J. M., Gharaibeh, Z. I. Y., Didiuk, I., & Sylkin, O. (2023). Developing an information model for e-commerce platforms: A study on modern socio-economic systems in the context of global digitalization and legal compliance. Information Systems Engineering, 28(4), 969-974. https://doi.org/10.18280/isi.280417
Ayanwale, M. A., Adelana, O. P., Ishola, A. M., & Adeeko, O. (2024). Education 4.0: Exploring computer science teachers’ readiness. Eurasia Journal of Mathematics, Science and Technology Education, 20(8). https://doi.org/10.29333/ejmste/14918
Bachiieva, L., Babichev, A., Kovalenko, O., Yelnykova, H., & Lazariev, M. (2024). Developing pedagogical content tasks in research methods training of future vocational teachers. In: Auer, M.E., Cukierman, U.R., Vendrell Vidal, E., Tovar Caro, E. (eds) Towards a Hybrid, Flexible and Socially Engaged Higher Education. ICL 2023. Lecture Notes in Networks and Systems (vol. 901). Cham: Springer. https://doi.org/10.1007/978-3-031-53022-7_4
Cao, K., & Dong, J. (2020). Training scheme of computer science and technology specialty based on engineering education professional certification. In B. Ye (Ed.) 2020 Conference on Educational Science and Educational Skills (ESES2020) (pp. 349-353). Dalian, China. Retrieved from https://acortar.link/sSEffx
Castro, V. D. S., & Oliveira, S. R. B. (2023, October). A diagnosis on the teaching of Software Design in a sample of undergraduate courses in Computer Science in Brazil. In 2023 IEEE Frontiers in Education Conference (FIE) (pp. 1-9). IEEE. https://doi.org/10.1109/FIE58773.2023.10343311
Cherniavska, O., Belov, A., Shmygol, N., Järvis, M., Cherniavska, O., & Tsalko, T. (2023). Artificial intelligence tools for university fundraising 5.0: A Comprehensive analysis. In 2023 IEEE 5th International Conference on Modern Electrical and Energy System (MEES) (pp. 1-6). IEEE. https://doi.org/10.1109/MEES61502.2023.10402529
Forné, S., López-Sala, A., Mateu-Estivill, R., Adan, A., Caldú, X., Rifà-Ros, X., & Serra-Grabulosa, J. M. (2022). Improving reading skills using a computerized phonological training program in early readers with reading difficulties. International Journal of Environmental Research and Public Health, 19(18), 11526. https://doi.org/10.3390/ijerph191811526
Gajdzik, B., & Wolniak, R. (2023). Smart production workers in terms of creativity and innovation: The implication for open innovation. Journal of Open Innovation: Technology, Market, and Complexity 8(2), 68. https://doi.org/10.3390/joitmc8020068
Goode, J., Peterson, K., Malyn-Smith, J., & Chapman, G. (2020). Online professional development for high school computer science teachers: Features that support an equity-based professional learning community. Computing in Science & Engineering, 22(5), 51-59. https://doi.org/10.1109/MCSE.2020.2989622
Kazimova, D.A. (2024). Conditions for training future computer science teachers based on a systems approach. Вulletin of the Кaraganda University, Рedagogy Series, 29(3), 6-14. https://doi.org/10.31489/2024ped3/6-13
Kilbury, M., Böhnke, A., & Thiel, F. (2023). Producing staged videos for teacher education: Development and content validation of video scripts on the topic of handling classroom disruptions. Education Sciences, 13(1). https://doi.org/10.3390/educsci13010056
Kulikov, P., Aziukovskyi, O., Vahonova, O., Bondar, O., Akimova, L., & Akimov, O. (2022). Post-war economy of Ukraine: Innovation and investment development project. Economic Affairs, 67(5), 943-959. https://doi.org/10.46852/0424-2513.5.2022.30
Li, B., Liu, J., Guo, J., Zhou, C., Lv, X., & Shen, Y. (2021). The computerized educational system designed for academic English reading technique training-take computer science major as an example. In Journal of Physics: Conference Series (Vol. 1852, No. 3, p. 032062). IOP Publishing. https://doi.org/10.1088/1742-6596/1852/3/032062
Liang, J. (2022). “OBE” concept for new training mode of electronic information science and technology professionals under big data analysis. Computational Intelligence and Neuroscience, 2022(1), 8075708. https://doi.org/10.1155/2022/8075708
Martin, N. D., Antoine, A., Wilson Vazquez, A., & Black, C. (2024). Training effective facilitators to scale equity-focused computer science professional learning. In RESPECT 2024: Proceedings of the 2024 on RESPECT Annual Conference (pp. 270-277). New York: Association for Computing Machinery. https://doi.org/10.1145/3653666.3656108
Maxkamova, D.B. (2024). Computer training programs and its development. American Journal of Social Sciences and Humanity Research, 4(3), 175-181. https://doi.org/10.37547/ajsshr/volume04issue03-23
Pahl, M.O. (2020). Learning by teaching: Professional skills and new technologies for university education. IEEE Communications Magazine, 57(11), 74-80. https://doi.org/10.1109/MCOM.001.1900248
Pavlova, N.S. (2023). Practice-oriented training of future computer science teachers. Scientific Bulletin of South Ukrainian National Pedagogical University named after K. D. Ushynsky, 4(145), 53-60. https://doi.org/10.24195/2617-6688-2023-4-8
Sârb, D.E. (2023). The importance of continuous training for pre-university music teachers. In 10th International Conference Education, Reflection, Development (ERD 2022) (pp. 686-694). Cluj-Napoca, Romania: European Publisher. https://doi.org/10.15405/epes.23056.63
Serik, M., Duisegaliyeva, N., & Tleumagambetova, D. (2023). Creating a proctoring system using neural network in the educational process. In ICAAI 2023: 2023 the 7th International Conference on Advances in Artificial Intelligence (pp. 98-105). New York: Association for Computing Machinery. https://doi.org/10.1145/3633598.3633615
Shan, Z., Huang, H., & Tang, S. (2020). Effect of diversified and staged health education on the compliance of elderly patients with coronary heart disease. Annals of Palliative Medicine, 9(6), 4074-4080. https://doi.org/10.21037/apm-20-1995
Shen, S., Walsh, P., Keutzer, K., Dodge, J., Peters, M., & Beltagy, I. (2022). Staged training for transformer language models. In International Conference on Machine Learning (pp. 19893-19908). PMLR. https://doi.org/10.48550/arXiv.2203.06211
Sherman, M., Samchynska, Y., & Korniienko, Y. (2021). Development of an information system for professional training of students in digital educational environment. Electronic Scientific Professional Journal “Open Educational E-Environment of Modern University”, 11, 184–200. https://doi.org/10.28925/2414-0325.2021.1116
Shi, Y., & He, Y. (2021). Exploration on the training mode of computer professionals under the background of artificial intelligence. In 2021 International Conference on Education, Information Management and Service Science (EIMSS) (pp. 554-557). Xi'an, China: IEEE. https://doi.org/10.1109/EIMSS53851.2021.00124
Vlasii, O. (2021). Ways of practical training modernization of the future computer science teachers. Mountain School of Ukrainian Carpaty, (24), 60-63. https://doi.org/10.15330/msuc.2021.24.60-63
Yang, Y., Yang, Y., Li, W., & Li, L. (2022). Research on the training mode of computer professionals driven by the professional certification of engineering education and the integration of industry and education. In 2022 2nd International Conference on Big Data Engineering and Education (BDEE) (pp. 233-238). Chengdu, China: IEEE. https://doi.org/10.1109/BDEE55929.2022.00047
Yuan, G., Luo, G., Yang, X., Yue, K., & Qian, W. (2020). Construction and practice of excellence talent training system for computer science and technology in Yunnan university. International Journal of Learning and Teaching, 6(3), 152-157. https://doi.org/10.18178/ijlt.6.3.152-157
Zhou, Y. (2021). Training mode of information management and information system professionals in colleges and universities based on the development direction of computer. In 2021 International Conference on Computers, Information Processing and Advanced Education (CIPAE) (pp. 300-304). Ottawa, ON, Canada: IEEE. https://doi.org/10.1109/CIPAE53742.2021.00078
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