Information fusion technology helps promote the teaching practice of art design specialty in colleges and universities

IF 3.1 Q1 Mathematics
Xuemin Wang
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引用次数: 0

Abstract

This study explores the application of information fusion technology in teaching art and design majors in colleges and universities, aiming to improve the teaching effect and students’ practical ability. The study adopts the flipped classroom teaching model and combines the multiple linear regression method to analyze the effectiveness of the teaching model. The model includes three stages: teaching preparation, teaching process and teaching reflection. The practice teaching system includes online and offline integration of on-campus practice, humanistic literacy practice, on-site participation practice and other multivariate systems. The study results showed that the students who adopted this teaching model scored 4.237, 4.388, and 4.186 (out of 5) in learning self-efficacy, learning adaptability, and learning engagement, respectively, indicating that the students were in the middle to upper level in these areas. The results of regression analysis showed that learning self-efficacy and learning adaptability had a significant positive effect on learning engagement. The conclusion indicates that the application of information fusion technology can significantly improve the learning self-efficacy, learning adaptability and learning engagement of art and design majors, thus improving the quality of teaching and students’ practical ability. This provides new perspectives and methods for teaching art design majors in colleges and universities.
信息融合技术助推高校艺术设计专业教学实践
本研究探讨了信息融合技术在高校艺术设计专业教学中的应用,旨在提高教学效果和学生的实践能力。研究采用翻转课堂教学模式,结合多元线性回归法分析教学模式的有效性。该模式包括教学准备、教学过程和教学反思三个阶段。实践教学体系包括线上线下融合的校内实践、人文素养实践、现场参与实践等多元体系。研究结果显示,采用该教学模式的学生在学习自我效能感、学习适应性和学习参与度方面的得分分别为4.237、4.388和4.186(满分5分),说明学生在这些方面处于中上水平。回归分析结果显示,学习自我效能感和学习适应性对学习投入度有显著的正向影响。结论表明,信息融合技术的应用能显著提高艺术设计专业学生的学习自我效能感、学习适应性和学习参与度,从而提高教学质量和学生的实践能力。这为高校艺术设计专业的教学提供了新的视角和方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Mathematics and Nonlinear Sciences
Applied Mathematics and Nonlinear Sciences Engineering-Engineering (miscellaneous)
CiteScore
2.90
自引率
25.80%
发文量
203
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