Analysis of Creativity Research Trends in Chinese Universities Using Topic Modeling

This study collected creativity-related academic papers from Chinese universities published from 2006 to 2023 from Chinese academic paper sites and conducted text network analysis and topic modeling analysis on the abstracts of the papers. Text network analysis was used to visualize the relationships between keywords in the abstracts of the papers and identify their interrelationships. From this, we derived the main topics of each paper and the connections between them. Topic modeling was also used to identify different topics and analyze their frequency of occurrence and changes over time. This provided an in-depth understanding of the trends and major trends in creativity research in Chinese universities. The topic modeling analysis resulted in nine major themes, including “Cultivating creative industry-university-complex advertising and design talents,” “Establishing a comprehensive art education and entrepreneurship course system,” “Innovating creative software engineering teaching methods,” “Cultivating entrepreneurial talents in art universities,” “Advertising and fashion culture integration classes,” “Innovative talent cultivation models,” “Innovative teaching methods in art and design education,” “Exploring holistic education and cultural values,” and “Establishing a curriculum to cultivate creative talents. The results of this analysis contribute to the direction of creativity research in Chinese universities and provide useful information for future research and educational policy formulation.

Publication Details

Published
2024-08-31
DOI
https://doi.org/10.51636/jotd.2024.08.20.2.93
Primary Topic
Computational and Text Analysis Methods
Type
article
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Analysis of Creativity Research Trends in Chinese Universities Using Topic Modeling

Computational and Text Analysis Methods
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Analysis of Creativity Research Trends in Chinese Universities Using Topic Modeling

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Abstract

This study collected creativity-related academic papers from Chinese universities published from 2006 to 2023 from Chinese academic paper sites and conducted text network analysis and topic modeling analysis on the abstracts of the papers. Text network analysis was used to visualize the relationships between keywords in the abstracts of the papers and identify their interrelationships. From this, we derived the main topics of each paper and the connections between them. Topic modeling was also used to identify different topics and analyze their frequency of occurrence and changes over time. This provided an in-depth understanding of the trends and major trends in creativity research in Chinese universities. The topic modeling analysis resulted in nine major themes, including “Cultivating creative industry-university-complex advertising and design talents,” “Establishing a comprehensive art education and entrepreneurship course system,” “Innovating creative software engineering teaching methods,” “Cultivating entrepreneurial talents in art universities,” “Advertising and fashion culture integration classes,” “Innovative talent cultivation models,” “Innovative teaching methods in art and design education,” “Exploring holistic education and cultural values,” and “Establishing a curriculum to cultivate creative talents. The results of this analysis contribute to the direction of creativity research in Chinese universities and provide useful information for future research and educational policy formulation.

Vol. 20(2)
Openalex Percentile: Top 74%
Computational and Text Analysis Methods
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