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International Journal of Educational Innovation and Science, 2020, 1(1); doi: 10.38007/IJEIS.2020.010102.

Online and Offline Blended Teaching of Calligraphy Based on Deep Learning

Author(s)

Shuhang Li

Corresponding Author:
Shuhang Li
Affiliation(s)

School of Economics and Management, Shenyang Institute of Technology, Shenyang, Liaoning, 113122, China

Abstract

Affected by the COVID-19 epidemic, students' learning progress has been affected in various aspect, and blended teaching has become a new option. Although the impact of the epidemic on teaching has been greatly reduced, the effect of pure online and offline teaching is not ideal. In this context, this paper mainly proposed improvements to the current calligraphy blended teaching model through deep learning. Personalized content recommendation is made according to the actual learning situation of students' course content, so as to strengthen students' understanding and cognition of calligraphy course content. Based on the deep learning theory, this paper constructed the IUNeu calligraphy course content recommendation model, and selects the third-grade students of school A as the experimental objects to conduct an experimental comparative analysis of different teaching modes. This paper analyzed from three perspectives of calligraphy theory course teaching, calligraphy practice course teaching and calligraphy ability. The experimental results were shown as follows. In the teaching of calligraphy theory courses, the pass rates of the students in the experimental group were 26.6%, 26.7%, 13.3%, 40%, and 40% higher than those in the control group in the origin of Chinese characters, the structure of Chinese characters, the strokes of Chinese characters, the physical evolution of Chinese characters, and the stippling of Chinese characters, respectively. In terms of calligraphy ability, the calligraphy ability of the students in the experimental group was higher than that of the control group, and the proportion of students in the four calligraphy appreciation abilities of connotation, artistic conception, temperament and distinguishing strokes was 26.6%, 26.7%, 33.4% and 13.3% higher than that of the control group. This showed that the effect of the new calligraphy course teaching mode based on deep learning is remarkable, and it also provided a certain experimental basis for the follow-up calligraphy course education reform.

Keywords

Deep Learning, Blended Learning, Calligraphy Teaching, IUNeu model

Cite This Paper

Shuhang Li. Online and Offline Blended Teaching of Calligraphy Based on Deep Learning. International Journal of Educational Innovation and Science (2020), Vol. 1, Issue 1: 15-30. https://doi.org/10.38007/IJEIS.2020.010102.

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