Authors
- Lvov Aleksey Yu. Candidate of Pedagogical Sciences
- Lvova Natalia S. Candidate of Pedagogical Sciences
Annotation
The article discusses the historical aspects of the formation of methods of teaching drawing in Russia, as well as the concept of the long-term development of this
direction with the use of modern machine learning technologies and robotic solutions relevant in the framework of informatization of education. The purpose of the study is to identify the vector of potential development of modern methods of art education in the direction of their symbiotic combination with advanced technologies to achieve emergence. The objectives of the study are to study the development of methods of teaching drawing, on the basis of the classification of pedagogical activities, to identify the main direction for the study of the possibility of using a robot assistant in the process of teaching drawing, to synthesize on the basis of the data obtained a conceptual solution for the use of a robot assistant in the educational process.
How to link insert
Lvov, A. Y. & Lvova, N. S. (2022). WILL THE ROBOT BE ABLE TO TEACH YOU HOW TO DRAW? Bulletin of the Moscow City Pedagogical University. Series "Pedagogy and Psychology", 2022, №4 (62), 83. https://doi.org/10.25688/2072-9014.2022.62.4.07
References
1.
1. Lvov, A. Yu. (2021). Anthropomorphic robot in education. #ScienceJuice2021. Collection of articles and theses (pp. 519–526). Moscow: Paradigm. (In Russ.).
2.
2. Lvov, A. Yu. (2020). Social anthropomorphic robot — teacher’s assistant. Mathematics and computer science in education and business. A collection of materials of the international scientific and practical conference (pp. 331–335). Moscow: Aegitas. (In Russ.).
3.
3. Lvov, A. Yu. (2020). Lesson plan for an android robot. Physics, mathematics, computer science and innovative teaching methods. Materials of the international student scientific and practical conference (pp. 8–11). Minsk: Belarusian State Pedagogical University un-t. (In Russ.).
4.
4. Lvov, A. Yu. (2020). Will an anthropomorphic robot be able to become a teacher’s assistant? Actual problems of theory and practice of teaching physics, mathematics and technical disciplines in the modern educational space. Materials of the IV All-Russian (with international participation) scientific and practical conference dedicated to the 75th anniversary of the Faculty of Physics, Mathematics, Computer Science of Kursk State University, Kursk, 2020, December 16–17 (pp. 385–387). Kursk: Kursk State University. (In Russ.).
5.
5. Lazarev, M. C., Lvov, A. Yu., & Fadeev, A. Yu. (2019). Prospects for the use of anthropomorphic robots in the educational process. Collection of scientific papers of the XVIII All-Russian Scientific and Practical Conference of young researchers of education (p. 465). Moscow: MGPPU. (In Russ.).
6.
6. Grigoriev, S. G., Grinshkun, V. V., & Remorenko, I. M. (2014). «Smart audience » — a step towards the integration of educational informatization tools. RUDN Journal of Informatization in Education, 1, 16–26. (In Russ.).
7.
7. Akishina, A. A. [et al.] (2021). National interests and issues of regional development in the system of priorities of international activities of Russian universities. Moscow: RIOR, 266 p. (In Russ.).
8.
8. Lomov, S. P., & Lomova, N. F. (2018). History and theory of methods of teaching drawing in Russian schools. Monograph. Moscow: Research Institute of History, Economics and Law. 170 p. (In Russ.).
9.
9. Lomov, S. P. (2018). Education through art. Art and education: methodology, theory, practice, 1, 10–12. (In Russ.).
10.
10. Chistov, P. D., & Vitkovsky, A. N. (2022). Creative workshop as the basis of an educational model in higher art and pedagogical education. Science and school, 1, 176–186. (In Russ.).
11.
11. Savinov, A. M. (2021). Application of information technologies in the process of teaching academic drawing. Problems of art and technological education at school and university. Collection of materials of the All-Russian Scientific and Practical Conference, Kirov, October 15, 2021 (pp. 136–140). Kirov: Interregional Center for Innovative Technologies in Education.
12.
12. Sirazetdinov, R. T., Fadeev, A. Yu., & Hisamutdinov, R. E. (2019). New technologies of education based on a small-sized anthropomorphic robot ROMA. Informatics and education, 1(300), 33–39. (In Russ.).
13.
13. Devaev, V. M., Sirazetdinov, R. T., Fadeev, A. Yu. Hisamutdinov, R. E., & Kashapov, N. F. (2020). Educational and research complex robot small anthropomorphic. Patent No. 2718513 C1 Russian Federation, IPC B25J 9/16, B25J 9/22. No. 2019122066: application 12.07.2019: publ. 08.04.2020; applicant federal state autonomous Educational Institution institution of higher education “Kazan (Volga Region) Federal University” (FGAOU IN KFU). (In Russ.).
14.
14. Gatys, L. A., Ecker, A. S., Bethge, M. (2015). A Neural Algorithm of Artistic Style. Journal of Vision, August 2015, arXiv:1508.06576 [cs.CV]. https://arxiv.org/
abs/1508.06576v2 (accessed: 23.06.2022).
15.
15. Yuan R. (2018, August 3). Neural Style Transfer: Creating Art with Deep Learning using tf keras and eager execution. Date of publication: Aug 3, 2018. Medium. https://medium.com/tensorflow/neural-style-transfer-creating-art-with-deep-learning-using-tf-kerasand-eager-execution-7d541ac31398 (accessed: 23.06.2022).
16.
16. Wikiconpects (n.d.). Neural Style Transfer. https://neerc.ifmo.ru/wiki/index.php?title=Neural_Style_Transfer (accessed: 23.06.2022).