Refining the system of principles in teaching methodical disciplines in conditions of higher education digital transformation

Autor: Irina А. Bykova, Nadezhda I. Zavodchikova
Rok vydání: 2021
Předmět:
Zdroj: Vestnik of Kostroma State University. Series: Pedagogy. Psychology. Sociokinetics. 26:166-173
ISSN: 2073-1426
Popis: The purpose of the article is to refine the system of principles in teaching disciplines with methodological direction in conditions of higher pedagogic education digitalisation. The authors note that in the modern practice of teaching methodological disciplines, such laws can be distinguished that are not presented in the existing system of general ideological principles, principles of higher education and principles of teaching using digital support, and propose to supplement the existing list with the principles of operationalisation, interiorisation and integration. The principle of operationalisation of professional actions in teaching methodology in conditions of digital transformation of education provides for the need to include methodological materials course into the digital content where professional actions would be for students in the form of a sequence of elementary operations. The dedicated sequence of operations must meet the requirements of efficiency, mass, discreteness, clarity. The principle of consistent interiorisation of methodological skills consists in the implementation, using digital technologies, of a phased formation of an indicative basis for the professional actions of a future teacher, due to the strengthening of students’ independence in constructing an indicative basis for professional actions in the course study process. The principle of integration of in-class and digital methodological tasks implies a purposeful organisation of mutual influence between students’ in-class and online work. The article concludes with proposals on the structure, selection of the online course content with methodological direction; conditions for upholding the proposed principles are considered.
Databáze: OpenAIRE