Abstract
The article describes the essence of using EOSC cloud services for math and science teachers’ training. The main components of the proposed learning method are target (target and target group), content, technology (methods, forms and learning tools) and results. A possible plan for training classes is given in the article. Teachers got acquainted with open science, the main structure of EOSC and its components, with specialized cloud services and tools to maintain international projects. The method of using EOSC cloud services for math and science teachers’ training is experimentally tested, and the results are proved using Fisher’s test. Experimental work on developing and implementing the method of using EOSC cloud services for math and science teachers’ training occurred as a natural, cross-disciplinary pedagogical experiment in four stages: preparatory, ascertaining, formative and control. The methodological recommendations for using EOSC open science cloud services for teachers are formulated based on the experiment results. Specific components of learners’ open science competence increased in the experimental groups compared to the control groups. The statistical analysis confirmed this conclusion. The proposed method is recommended to be implemented as part of teachers’ training courses.
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References
Barot, T., Krpec, R.: Alternative Approach to Fisher’s Exact Test with Application in Pedagogical Research. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds.) CoMeSySo 2018. AISC, 859, pp. 50–59. Springer, Cham. (2019). https://doi.org/10.1007/978-3-030-00211-4_6
Bykov, V., Mikulowski, D., Moravcik, O., Svetsky, S., Shyshkina, M.: The use of the cloud-based open learning and research platform for collaboration in virtual teams. Inf. Technol. Learn. Tools 76(2), 304–320 (2020). https://doi.org/10.33407/itlt.v76i2.3706
Fouilloux, A., Marasco, P.L., Odaka, T., Mottram, R., Zieger, P., Schulz, M., Coca-Castro, A., Iaquinta, J., Eynard Bontemps, G.: Pangeo framework for training: experience with FOSS4G, the CLIVAR boot camp and the science course. In: EGU General Assembly 2023, Vienna, Austria, EGU23–8756, pp. 24–28 (2023). https://doi.org/10.5194/egusphere-egu23-8756
Garcia, P.O., Berberi, L., Candela, L., Van Nieuwerburgh, I., Lazzeri, E., Czuray, M.: Developing the EOSC-Pillar RDM Training and Support Catalogue. In: Silvello, G. et al. (eds.) TPDL 2022. LNCS, 13541, pp. 274–281. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-16802-4_22
Marienko, M., Shyshkina, M.: The Design and Implementation of the Cloud-Based System of Open Science for Teachers’ Training. In: Auer, M.E., Pachatz, W., Rüütmann, T. (eds.) ICL 2022: Learning in the Age of Digital and Green Transition. LNNS, 633, pp. 337–344. Springer, Cham. (2023). https://doi.org/10.1007/978-3-031-26876-2_31
O'Carroll, C., Hyllseth, B., Berg, R., et al.: Providing researchers with the skills and competencies they need to practise Open Science. Publications Office (2017). https://data.europa.eu/doi/https://doi.org/10.2777/121253
Provost, L., Di Donato, F., Tóth-Czifra, E. et al.: Open Science Training in TRIPLE. Open Res Europe 2023, 3:39 (2023). https://doi.org/10.12688/openreseurope.15430.1
Svetsky, S., Moravcik, O., Mikulowski, D., Shyshkina, M. The ICT Design for Modern Education Technology and Applications. In: Arai, K., Kapoor, S., Bhatia, R. (eds) FTC 2020, Volume 3. AISC, 1290, pp. 281–291. Springer, Cham. (2021). https://doi.org/10.1007/978-3-030-63092-8_19
Svetsky, S., Moravcik, O., Shyshkina, M., Cervenanska, Z., Kotianova, J. The Knowledge-Based design of educational technology. In: Arai, K. (eds) FTC 2021, Volume 3. LNNS, 360, pp. 759–775. Springer, Cham. (2022). https://doi.org/10.1007/978-3-030-89912-7_58
Vakaliuk, T.A., Marienko, M.B.: Experience of using cloud-oriented open science systems in the process of teaching and professional development of natural and mathematical teachers. Inf. Technol. Learn. Tools 81(1), 340–355 (2021). https://doi.org/10.33407/itlt.v81i1.4225
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Marienko, M. (2024). The Method of Using EOSC Cloud Services for Math and Science Teachers’ Training. 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 899. Springer, Cham. https://doi.org/10.1007/978-3-031-51979-6_28
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DOI: https://doi.org/10.1007/978-3-031-51979-6_28
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