From the Real World to the Virtual and Vice Versa: Recognition of Man-Made Objects and Structures and Augmented Reality as Tools for Digitalization of Natural Science Education

Авторы: Besshaposhnikov N.O., Kushnirenko A.G., Leonov A.G.
Сборник: Lecture Notes in Networks and Systems
Год издания: 2021
Издательство: Springer International Publishing AG
Местоположение издательства: Cham, Switzerland
Первая страница: 857
Последняя страница: 869
DOI: 10.1007/978-3-030-90321-3_71
Аннотация: The use of neural networks-based recognition algorithms for toy objects and structures and augmented reality generation algorithms opens up new methodological possibilities in the teaching of natural sciences. Artificial intelligence methods make it possible to transfer to the material world the processes of compiling and executing control programs for real or virtual robots and the processes of generating environments (game fields) along which robots move. This technical, at first glance, achievement opens up the possibility of developing and practically introducing a methodology for consciously (in the sense of L. Vygotsky) mastering by the preschoolers of the system of scientific concepts of programming. Children master this system of scientific concepts by working with tangible instructional kits and composing programs for managing real and virtual robots in the “PiktoMir” textless programming environment.
Добавил в систему: Леонов Александр Георгиевич

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