The qualification improvement model for teachers of philology on the use of cloud technologies in pedagogical activity
The use of information and communication technologies in education, including cloud technologies, has recently become an urgent issue. The main reasons for the growing interest in cloud technologies are the need to find alternative forms of learning to traditional ones, as well as the conformity of functional capabilities of cloud technologies to modern needs of optimisation of educational branch. Application of cloud technologies in educational process requires teachers to have appropriate qualification. The aim of this work was to develop a qualification improvement model for foreign language teachers, which could help them acquire the necessary theoretical knowledge, as well as practical skills and abilities to use cloud technologies in professional activities. This paper used methods of analysis of existing models of teacher training, as well as the survey and mathematical methods of processing the results of experimental research. The model of advanced training is created in the work, which helps teachers of Philology to acquire the necessary skills and abilities of productive use of cloud technologies. In addition, it allows you to gain new knowledge in the field of foreign philology, pedagogy and psychology. According to this study, as a result of using such a model, foreign language teachers acquire the necessary skills and abilities to use cloud technologies in the educational process. They allow them to achieve didactic goals in professional activities. As this study showed, foreign language teachers can achieve didactic goals in professional activities using cloud technology through the proposed model. It was found that the developed model is highly efficient. The results of this study can be useful to scientists and educators who are engaged in finding and researching effective learning models that rely on modern technology. Prospects for future research may be to improve existing teacher training models and develop new ones in accordance with the state of digital technologies.
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