Digital competence of Russian teachers (results of an empirical study on the example of the Lipetsk region) DOI Open Access
Elena V. Igonina,

Olga Nikolaevna Povalyaeva,

Olga A. Kotlyarova

и другие.

Perspectives of science and education, Год журнала: 2022, Номер 60(6), С. 625 - 643

Опубликована: Янв. 1, 2022

Introduction. The process of digitalization school education largely depends on the level digital competence teachers. relevance study teachers is determined by several factors: rapid development tools and directions education; heterogeneity teaching staff, which manifested in various results empirical research. purpose article: to investigate Lipetsk region at present stage, taking into account professional specifics. Materials methods. a teacher considered general user levels. To aspect teacher's competence, methodology "Digital Competence Index" was used (G.U. Soldatova, T.A. Nestik, E.I. Rasskazova, E.Y. Zotova). assess teacher, test competencies teacher", developed Yandex platform "I am teacher". Also, as part study, respondents were surveyed identify obstacles limitations that face today when using education. conducted March-April 2022. sample consisted 268 students I.A. Bunin Yelets State University. Microsoft Office Excel, Statistical Package for Social Sciences (SPSS) version 26 programs results. Kruskal-Wallis criterion statistical data processing. Results. showed Russian have fairly high competence: participants entire has an average value 40 points, while 54 points. gap revealed between whose experience less than 20 years, with more 21 years experience. specialization affects his competence. Teachers physics mathematics (44 points) natural science (40 disciplines most These indicators are significantly lower humanities (37 primary (34 points). At same time, literacy among all approximately same. found male advanced skills female conclusion there no rural urban positive significance. Сonclusion. levels empirically investigated, including context factors seniority, gender, specialization, territorial affiliation school. can be design educational training courses use

Язык: Английский

Digital competence of Russian teachers (results of an empirical study on the example of the Lipetsk region) DOI Open Access
Elena V. Igonina,

Olga Nikolaevna Povalyaeva,

Olga A. Kotlyarova

и другие.

Perspectives of science and education, Год журнала: 2022, Номер 60(6), С. 625 - 643

Опубликована: Янв. 1, 2022

Introduction. The process of digitalization school education largely depends on the level digital competence teachers. relevance study teachers is determined by several factors: rapid development tools and directions education; heterogeneity teaching staff, which manifested in various results empirical research. purpose article: to investigate Lipetsk region at present stage, taking into account professional specifics. Materials methods. a teacher considered general user levels. To aspect teacher's competence, methodology "Digital Competence Index" was used (G.U. Soldatova, T.A. Nestik, E.I. Rasskazova, E.Y. Zotova). assess teacher, test competencies teacher", developed Yandex platform "I am teacher". Also, as part study, respondents were surveyed identify obstacles limitations that face today when using education. conducted March-April 2022. sample consisted 268 students I.A. Bunin Yelets State University. Microsoft Office Excel, Statistical Package for Social Sciences (SPSS) version 26 programs results. Kruskal-Wallis criterion statistical data processing. Results. showed Russian have fairly high competence: participants entire has an average value 40 points, while 54 points. gap revealed between whose experience less than 20 years, with more 21 years experience. specialization affects his competence. Teachers physics mathematics (44 points) natural science (40 disciplines most These indicators are significantly lower humanities (37 primary (34 points). At same time, literacy among all approximately same. found male advanced skills female conclusion there no rural urban positive significance. Сonclusion. levels empirically investigated, including context factors seniority, gender, specialization, territorial affiliation school. can be design educational training courses use

Язык: Английский

Процитировано

6