- Issue
- Journal of Siberian Federal University. Humanities & Social Sciences. 2019 12 (6)
- Authors
- Pak, Nikolay I.; Stepanova, Tatiana A.; Bazhenova, Irina V.; Gavrilova, Irina V.
- Contact information
- Pak, Nikolay I.: Krasnoyarsk State Pedagogical University named after V.P. Astafyev 89 Ada Lebedeva Str., Krasnoyarsk, 660049, Russia; Siberian Federal University 79 Svobodny, Krasnoyarsk, 660041, Russia; Stepanova, Tatiana A.: Krasnoyarsk State Pedagogical University named after V.P. Astafyev 89 Ada Lebedeva Str., Krasnoyarsk, 660049, Russia; Bazhenova, Irina V.: Siberian Federal University 79 Svobodny, Krasnoyarsk, 660041, Russia; ; Gavrilova, Irina V.: Krasnoyarsk State Pedagogical University named after V.P. Astafyev 89 Ada Lebedeva Str., Krasnoyarsk, 660049, Russia
- Keywords
- Mental learning platform; multidimensional algorithmic thinking; mental algorithmic maps; embodied approach
- Abstract
The problem of algorithmic thinking development in computer science, computer technology and information technology courses remains relevant despite a lot of research done in the area. The present article is intended to substantiate the mental learning platform for further use of cognitive methods and training tools; it discloses the essence of multidimensional algorithmic thinking and presents mental and embodied (kinaesthetic) programming training tools. The authors arrive at the conclusion that development of multidimensional algorithmic thinking should be carried out through the use of mental algorithmic maps for different styles of thinking, mental and empirical tasks, as well as kinaesthetic simulators. Such training tools involve all channels of perception and greatly contribute to the understanding and better assimilation of “Algorithmization and programming” subject. The results of the research can be useful for computer science teachers at schools and programming teachers at higher educational institutions
- Pages
- 1072–1087
- DOI
- 10.17516/1997-1370-0410
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/110242
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).