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Nikolay I. Pak
Tatiana A. Stepanova
Irina V. Bazhenova
Irina V. Gavrilova
2020-01-20T07:56:05Z
2020-01-20T07:56:05Z
2019-06
Nikolay I. Pak. Multidimensional algorithmic thinking development on mental learning platform [Текст] / Nikolay I. Pak, Tatiana A. Stepanova, Irina V. Bazhenova, Irina V. Gavrilova // Journal of Siberian Federal University - Humanities and Social Sciences: Серия: Гуманитарные науки. — 2019. — Т. 12 (№ 6). — С. 1072-1087
http://journal.sfu-kras.ru/article/110242
https://elib.sfu-kras.ru/handle/2311/129206
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.
Mental learning platform
multidimensional algorithmic thinking
mental algorithmic maps
embodied approach
Multidimensional algorithmic thinking development on mental learning platform
Journal Article
Journal Article Preprint
1072-1087
14.07.03
2020-01-20T07:56:05Z
10.17516/1997–1370–0410
Институт математики и фундаментальной информатики
Базовая кафедра вычислительных и информационных технологий
Journal of Siberian Federal University - Humanities and Social Sciences
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