Modern Information Technologies in the Professional Education of Future Primary School Teachers

The article examines the problem of using information technologies in the educational and professional training of future primary school teachers. The authors found that the integration of digital resources into the educational process can effectively solve didactic tasks. It provides opportunities for virtual travel and improves the accessibility and efficiency of education. The application of information technologies contributes to enhancing the educational process. They prepare future teachers to function within the information society and promote the development of critical thinking and creativity among students. The new approach puts the teacher at the center of the educational process. This approach takes into account the professional competencies and personal interests of educators to promote the improvement of methodological, organizational, and technological support for personalized learning. The paper investigated the possibilities of using information technologies in the educational process to train future primary school teachers. The methodology included a systematic approach and general theoretical scientific methods. They include analysis, synthesis, and systematization of the research material on the role of digital technologies in the training of future primary school teachers. The research methodology employed two indicators to assess the psychological and emotional qualities of students, namely: assessment of communication skills; analysis of cultural and value orientations. The research results showed a high level of discomfort related to the current educational system. Nearly half of the respondents experience psychological and emotional stress due to the existing teaching format. In addition, as a result of the program implementation, it was found that the configuration model of student-centered learning applied to distance learning had a significant impact on students. The statistical analysis of the chi-square indices of overall conformity (χ2 = 0.36....1) indicates a high conformity of the data set.