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<p>Exploring the influence of the ADDIE education model on teaching cultural and creative product design to promote the improvement of the quality of teaching cultural and creative product design. Starting from the ADDIE education model, this paper analyzes the five components of the model and the specific functions of each component. The logistic regression algorithm that constitutes the analysis module of the ADDIE education model is introduced, and a sparse prior factor is introduced to optimize the logistic regression algorithm; then, a sparse logistic regression algorithm is constructed to solve the likelihood function of the weight vector. Finally, the ADDIE education model is used to analyze the indicators of cultural and creative product design teaching in two aspects: the teaching objectives and teaching principles of cultural and creative product design. From the teaching objectives, the influence of cognitive, skill, and emotional objectives accounted for 47.11%, 44.41% and 51.26%, respectively. From the teaching principles, the percentages of uniqueness, practicality, and attractiveness are 51.5%, 43.7%, and 40.3%, respectively. Based on the ADDIE education model can affect the emotional goals and uniqueness in the teaching of cultural and creative product design, and it is necessary to focus on the emotional teaching of product design as well as diversified and differentiated teaching in design teaching in order to enhance better the learners’ interest degree in cultural and creative product design.</p>
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Exploring the influence of the ADDIE education model on teaching cultural and creative product design to promote the improvement of the quality of teaching cultural and creative product design. Starting from the ADDIE education model, this paper analyzes the five components of the model and the specific functions of each component. The logistic regression algorithm that constitutes the analysis module of the ADDIE education model is introduced, and a sparse prior factor is introduced to optimize the logistic regression algorithm; then, a sparse logistic regression algorithm is constructed to solve the likelihood function of the weight vector. Finally, the ADDIE education model is used to analyze the indicators of cultural and creative product design teaching in two aspects: the teaching objectives and teaching principles of cultural and creative product design. From the teaching objectives, the influence of cognitive, skill, and emotional objectives accounted for 47.11%, 44.41% and 51.26%, respectively. From the teaching principles, the percentages of uniqueness, practicality, and attractiveness are 51.5%, 43.7%, and 40.3%, respectively. Based on the ADDIE education model can affect the emotional goals and uniqueness in the teaching of cultural and creative product design, and it is necessary to focus on the emotional teaching of product design as well as diversified and differentiated teaching in design teaching in order to enhance better the learners’ interest degree in cultural and creative product design.

Analysis of the impact of ADDIE education model based on logistic regression model on teaching contemporary cultural and creative product design

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploring the influence of the ADDIE education model on teaching cultural and creative product design to promote the improvement of the quality of teaching...

Analysis of the impact of ADDIE education model based on logistic regression model on teaching contemporary cultural and creative product design

Publié en ligne: 26 août 2023

Pages: -

Reçu: 26 sept. 2022

Accepté: 06 mars 2022

DOI: https://doi.org/10.2478/amns.2023.2.00243

Mots clés
Logistic regression algorithm, Sparse prior factors, ADDIE model, Likelihood function, Cultural and creative design

© 2023 Yingying Huang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Analysis of the impact of ADDIE education model based on logistic regression model on teaching contemporary cultural and creative product design

Publié en ligne: 26 août 2023

Pages: -

Reçu: 26 sept. 2022

Accepté: 06 mars 2022

DOI: https://doi.org/10.2478/amns.2023.2.00243

Mots clésLogistic regression algorithm, Sparse prior factors, ADDIE model, Likelihood function, Cultural and creative design

© 2023 Yingying Huang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Logistic regression algorithm, Sparse prior factors, ADDIE model, Likelihood function, Cultural and creative design