<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper analyzes the influences on creative thinking by utilizing multivariate data integration methods and modular network-based integration methods. A creative drive gene identification algorithm was built using the network learning approach. Using the EMD method, a subset of creative thinking genes is obtained, and the histogram data density of each gene expression value is calculated. Creative thinking was classified using the SVM classification algorithm. Games have been shown to promote creative thinking in elementary school students to some extent, according to the results. The personalities of 60% of the students change, and 50% come up with new ideas during the games.</p>
</abstract>

This paper analyzes the influences on creative thinking by utilizing multivariate data integration methods and modular network-based integration methods. A creative drive gene identification algorithm was built using the network learning approach. Using the EMD method, a subset of creative thinking genes is obtained, and the histogram data density of each gene expression value is calculated. Creative thinking was classified using the SVM classification algorithm. Games have been shown to promote creative thinking in elementary school students to some extent, according to the results. The personalities of 60% of the students change, and 50% come up with new ideas during the games.

An innovative study on creative thinking development of elementary school students using multiple data integration

Applied Mathematics and Nonlinear Sciences

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

This paper analyzes the influences on creative thinking by utilizing multivariate data integration methods and modular network-based integration methods. A...

An innovative study on creative thinking development of elementary school students using multiple data integration

Pubblicato online: 28 ott 2023

Pagine: -

Ricevuto: 15 nov 2022

Accettato: 08 mag 2023

DOI: https://doi.org/10.2478/amns.2023.2.00841

Parole chiave
Multivariate data fusion, Modular network, Creative thinking, EMD method, SVM classification algorithm

© 2023 Erjia Xu et al., published by Sciendo

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

An innovative study on creative thinking development of elementary school students using multiple data integration

Pubblicato online: 28 ott 2023

Pagine: -

Ricevuto: 15 nov 2022

Accettato: 08 mag 2023

DOI: https://doi.org/10.2478/amns.2023.2.00841

Parole chiaveMultivariate data fusion, Modular network, Creative thinking, EMD method, SVM classification algorithm

© 2023 Erjia Xu et al., published by Sciendo

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

Parole chiave
Multivariate data fusion, Modular network, Creative thinking, EMD method, SVM classification algorithm