Title: Strengthening children's art education based on educational network technology and intelligent image recognition algorithms

Authors: Kailei Zhang

Addresses: College of Fine Arts, Xinxiang University, Xinxiang, 453000, China

Abstract: To improve the quality of art education for children, this study designed a new art education system by combining educational grid technology and intelligent art image recognition algorithms. Firstly, in this study, the external flow field and the virtual teaching hood were integrated into a refractive index field and a new linear refractive index gradient interpolation algorithm was proposed. A new educational system was constructed on this basis, and it was used for the professional evaluation of children's paintings. The experimental results showed that the research model had been highly evaluated by experts in practical application, with scores above 80 points. Compared with other drawing teaching models, the teaching model proposed in this study was able to obtain a high expert satisfaction, reaching 92 points in October and 96 points in December. This study not only provides a new teaching method for children's art education, but also opens up a new way for the future development of educational technology, which has important educational significance and broad application prospects.

Keywords: educational network technology; children; fine arts; education.

DOI: 10.1504/IJES.2024.143735

International Journal of Embedded Systems, 2024 Vol.17 No.1/2, pp.48 - 61

Received: 10 Nov 2023
Accepted: 11 Apr 2024
Published online: 06 Jan 2025 *

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