RJUC01 Digital competences and AI for Russian language teachers

Faculty of Arts
Autumn 2025
Extent and Intensity
0/0/0. 1 credit(s). Type of Completion: z (credit).
In-person direct teaching
Teacher(s)
Mgr. Taťjana Zaňko, Ph.D. (seminar tutor)
Guaranteed by
Mgr. Taťjana Zaňko, Ph.D.
Department of Slavonic Studies – Faculty of Arts
Contact Person: doc. PhDr. Jiří Gazda, CSc.
Supplier department: Department of Slavonic Studies – Faculty of Arts
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is to expand and improve digital competences and the ability to use AI in further self-development of Russian language teachers in primary and secondary schools.
Sub-objectives:
- To introduce teachers to modern technologies and online tools for teaching Russian,
- introduce the possibilities of artificial intelligence in the creation of teaching materials, assessment and support for students,
- learn how to work with digital resources and verify their credibility,
- learn methods of gamification, adaptive learning and personalisation of learning using digital tools.
- apply the acquired knowledge to specific teaching scenarios and strategies in Russian classes.
Learning outcomes
Upon completion of the course, the trainee will be able to:
- use modern technologies and online tools for learning Russian.
- use the possibilities of artificial intelligence in the creation of teaching materials, assessment and support for students,
- work with digital resources and verify their credibility,
- effectively use methods of gamification, adaptive learning and personalisation of learning using digital tools. - apply the acquired knowledge to specific teaching scenarios and strategies in Russian classes.
Syllabus
  • 1. Modern technologies and online tools for learning Russian.
  • 2. Use of AI in teaching.
  • 3. Critical thinking in a digital environment.
  • 4. Gamification, adaptive learning, and personalization of instruction using digital tools.
Literature
  • Digitální kompetence: https://archiv-nuv.npi.cz/p-kap/08.html
  • ZOUNEK, Jiří, Libor JUHAŇÁK, Hana STAUDKOVÁ and Jiří POLÁČEK. E-learning : učení (se) s digitálními technologiemi (E-learning : Teaching/Learnig Using Digital Technologies). 2nd ed. Praha: Wolters Kluwer ČR, 2021, 330 pp. ISBN 978-80-7676-175-9. URL info
Teaching methods
- group work,
- interactive activities,
- discussion,
- performance of tasks
Assessment methods
In order to successfully complete the course, it is necessary to attend at least 3 of the 4 seminars/meetings and pass the final interview on the topics covered. The course also includes partial independent home preparation and its control in the form of continuous oral and written testing and a final interview.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught only once.
The course is taught in blocks.
Information on the extent and intensity of the course: 8 hodin (2 x 4 hod.).
  • Permalink: https://is.muni.cz/course/phil/autumn2025/RJUC01