Children situational artificial intelligence learning spliced board

Abstract

The invention discloses a children situational artificial intelligence learning spliced board. The spliced board comprises hexagonal spliced boards which are mutually clamped. Convex points are arranged on the upper surfaces of the hexagonal spliced boards. The convex points are used for clamping models such as Lego building blocks. The hexagonal spliced boards comprise a barrier board and a signal board. Convex points are arranged on the upper surface of the barrier board. A robot is arranged on the upper surface of a passage formed by the signal board. An intelligent navigation system is integrated in the robot. A walking mechanism configured to move along the passage formed by the signal board is arranged in the robot. During usage, scene models such as Lego building blocks are clampedon the convex points on the board body formed by splicing the barrier board and the signal board. The signal board forms an access. The robot walks on the access under the navigation of the navigationsystem. A child needs to think about the correlation between a simulation scene and the navigation in the process of actually operating the spliced board, so that the thinking ability of the child inthe aspect of artificial intelligence is greatly improved.

Description

technical field [0001] The invention relates to the technical field of educational jigsaw puzzles, in particular to children's situational artificial intelligence learning jigsaw puzzles. Background technique [0002] In recent years, artificial intelligence technology has been widely used in agriculture, medical care, image processing, e-commerce and other fields, and the application of artificial intelligence in transportation vehicles has become the focus of research all over the world. At present, artificial intelligence teaching aids for children are generally limited to building block-style programming robots, etc., and artificial intelligence technology is not really applied. At the same time, the cognitive characteristics of children (3-8 years old) determine that they need a situational teaching environment to learn intelligent navigation. On August 30, 2018, 8 departments including the Ministry of Education and the National Health Commission jointly issued the "Im...

AI Technical Summary

Problems solved by technology

On August 30, 2018, 8 departments including the Ministry of Education and the National Health Commission jointly issued the "Implementation Plan for Comprehensive Prevention and Control of Myopia in Children and Adolescents", which has put forward the requirements for the scientific and rational use of electronic products. All kinds of intelligent education based on learning computers are not Conducive to the healthy growth of children

[0004] At present, the popular terminal-based programming robot education kits on the market are not vivid enough and lack scenarios created by children, so it is difficult to attract children to participate, and at the same time, it cannot improve children's thinking ability in artificial intelligence

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