Exploring design students’ cognition and application of different levels of Chinese cultural elements

Yang, Zhaohui; Bao, Defu; Shen, Danni

doi:10.1007/s10798-020-09606-w

Cited by 6 publications

(3 citation statements)

References 33 publications

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“… , and obtain the Euclidean distance and point-tostraight line distance, respectively, by replacing (7) with them:…”

Section: Path Optimizationmentioning

confidence: 99%

“…Designers should always follow excellent cultural creativity while creating and designing cultural and creative goods, keeping in mind the demands of people from the outside in and from the inside out, as well as from figurative to abstract [4][5]. Allow products to be unique, exhibit distinctive contents on a material and spiritual level, and create innovative and cultural items that meet consumer demand, establish a brand, and pass along cultural traditions [6][7]. Simultaneously, traditional cultural and creative product design must include characteristics of contemporary digital art [8].…”

Section: Introductionmentioning

confidence: 99%

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The Embodiment of Digital Art Elements in Traditional Cultural and Creative Product Designs

Zheng

2023

Applied Mathematics and Nonlinear Sciences

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In order to extract the image path of traditional cultural and creative items, we set the binary image target of such products to be black and the backdrop to be white in this research. We followed the use of image vectorization processing technology. In order to address the issue of edge jaggedness in the traditional cultural and creative product image path extraction process, polygonal contour fitting is utilized to optimize the image paths of these products, resulting in the creation of a vector map of these products. The PCA point cloud alignment technique is used, based on the vector map of traditional cultural and creative products, to identify the attributes of these items and build a model of their traditional cultural and creative product design that incorporates digital art. After choosing dependent and independent variables, traditional cultural and creative product design, including digital art aspects, is studied and analyzed using linear quantile regression. The findings demonstrate that all of the value-added ratio’s coefficients are significant and bigger at the 0.2 and 0.95 quantile points, suggesting that raising the ratio can aid in the merger of digital art and more established creative and cultural sectors. The medium (M=3.586) and small standard deviation of the traditional cultural and creative items incorporating digital art suggest that the use function and cost-effectiveness of these products have a stronger influence on purchase motivation. This research encourages the fusion of digital art components with conventional cultural and artistic output in order to give traditional culture a fresh lease of life in the information era.

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“… , and obtain the Euclidean distance and point-tostraight line distance, respectively, by replacing (7) with them:…”

Section: Path Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Embodiment of Digital Art Elements in Traditional Cultural and Creative Product Designs

Zheng

2023

Applied Mathematics and Nonlinear Sciences

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“…Because students' cognitive levels directly affect their learning ability and effectiveness, it is necessary to refer to students' cognitive levels to analyze their learning behavior characteristics [10][11][12][13]. Teachers can design teaching content and methods suitable for students' cognitive levels, provide personalized learning resources and support for them, and help students set appropriate learning goals and implement more reasonable and effective learning behaviors to better understand and master knowledge [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Student Online Learning Behavior Characteristics Based on Multidimensional Cognitive Model

Zhang¹

2023

Int. J. Emerg. Technol. Learn.

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Analysis of student learning behavior characteristics is an important means for educators to better understand students and improve the quality and effectiveness of teaching in the field of education. It is necessary to refer to students' cognitive levels for analysis of student learning behavior characteristics. However, existing algorithms only focus on the overall performance and grades of students, ignoring the individual differences in learning cognitive levels among students, which affects the accuracy of the analysis results. Therefore, this paper conducts research on student online learning behavior characteristics based on a multidimensional cognitive model. Firstly, a multidimensional and multilevel model for evaluating students' cognitive levels is constructed, and the process of evaluating students' cognitive levels is sustainable and can be adjusted in real-time as students' cognitive levels change. By considering the differences in evaluation levels and students' cognitive levels, targeted observation and extraction of students' online learning behavior characteristics can be achieved. A new model based on variational autoencoder neural network is proposed to perform decoupled representation of students' implicit preferences. By using a regularization term based on maximum mean difference, the model can learn independent hidden vectors sensitive to dynamic and static factors from students' online learning behavior history data and multidimensional cognitive evaluation history data. The experimental results verify the effectiveness of the constructed model.

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Deep Collaborative Innovation Product Decision-Making Model Based on Multi-Objective Optimization

Zhao,

Li,

Hou

et al. 2024

IEEE Access

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Exploring design students’ cognition and application of different levels of Chinese cultural elements

Cited by 6 publications

References 33 publications

The Embodiment of Digital Art Elements in Traditional Cultural and Creative Product Designs

The Embodiment of Digital Art Elements in Traditional Cultural and Creative Product Designs

Student Online Learning Behavior Characteristics Based on Multidimensional Cognitive Model

Deep Collaborative Innovation Product Decision-Making Model Based on Multi-Objective Optimization

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