Analysis of Research Trends of Artificial intelligence convergence Gifted education using Keyword Network Analysis

Objectives The purpose of this study is to analyze trends in artificial intelligence convergence gifted education in elementary and middle schools that have been studied with a focus on artificial intelligence, and to derive important issues, topics, trends, and trends in related research. Methods Research trends were analyzed for 75 literatures related to artificial intelligence and artificial intelligence convergence gifted education research and education programs. Analysis data was collected through Academic Research Information Service (RISS). The collected data was refined using Excel and text, and major keywords were identified, analyzed, and visualized through frequency analysis and keyword network analysis. CONCOR cluster analysis was used to determine the centrality of keywords. Results First, since 2017, research on artificial intelligence convergence gifted education has been steadily expanding in terms of content and methods. Second, the results of frequency analysis of the main keywords in research related to artificial intelligence convergence gifted education showed ‘artificial intelligence’, ‘artificial intelligence education’, ‘gifted education’, ‘computational thinking ability’, and ‘machine learning’.Third, as a result of TF-IDF weight analysis, ‘artificial intelligence’, ‘artificial intelligence education’, ‘gifted education’, ‘computational thinking ability’, ‘science gifted’, ‘artificial intelligence education program’, and ‘information gifted’ were found. In general, it was similar to the results of the frequency analysis of major keywords, but it was confirmed that there was a difference in the rankings. Keywords with relatively high weight compared to their frequency of occurrence are ‘science gifted’, ‘creativity’, and ‘artificial intelligence education program’.Fourth, through semantic network and CONCOR analysis, it can be confirmed that artificial intelligence convergence gifted education research is being conducted focusing on ‘educational content’, ‘educational effect’, ‘teaching method’, and ‘educational target’. Conclusions This study derived the main topics and flows of research based on the results of keyword network analysis of domestic artificial intelligence convergence gifted education-related research.

Publication Details

Journal
Korean Association For Learner-Centered Curriculum And Instruction
Published
2024-09-15
DOI
https://doi.org/10.22251/jlcci.2024.24.17.731
Citations
4
Primary Topic
Diverse Approaches in Healthcare and Education Studies
Type
article
Field-Weighted Citation Impact
2.17
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article

Analysis of Research Trends of Artificial intelligence convergence Gifted education using Keyword Network Analysis

4 citations
Korean Association For Learner-Centered Curriculum And Instruction
Diverse Approaches in Healthcare and Education Studies
2.17
article

Analysis of Research Trends of Artificial intelligence convergence Gifted education using Keyword Network Analysis

article en
4 citations

Abstract

Objectives The purpose of this study is to analyze trends in artificial intelligence convergence gifted education in elementary and middle schools that have been studied with a focus on artificial intelligence, and to derive important issues, topics, trends, and trends in related research. Methods Research trends were analyzed for 75 literatures related to artificial intelligence and artificial intelligence convergence gifted education research and education programs. Analysis data was collected through Academic Research Information Service (RISS). The collected data was refined using Excel and text, and major keywords were identified, analyzed, and visualized through frequency analysis and keyword network analysis. CONCOR cluster analysis was used to determine the centrality of keywords. Results First, since 2017, research on artificial intelligence convergence gifted education has been steadily expanding in terms of content and methods. Second, the results of frequency analysis of the main keywords in research related to artificial intelligence convergence gifted education showed ‘artificial intelligence’, ‘artificial intelligence education’, ‘gifted education’, ‘computational thinking ability’, and ‘machine learning’.Third, as a result of TF-IDF weight analysis, ‘artificial intelligence’, ‘artificial intelligence education’, ‘gifted education’, ‘computational thinking ability’, ‘science gifted’, ‘artificial intelligence education program’, and ‘information gifted’ were found. In general, it was similar to the results of the frequency analysis of major keywords, but it was confirmed that there was a difference in the rankings. Keywords with relatively high weight compared to their frequency of occurrence are ‘science gifted’, ‘creativity’, and ‘artificial intelligence education program’.Fourth, through semantic network and CONCOR analysis, it can be confirmed that artificial intelligence convergence gifted education research is being conducted focusing on ‘educational content’, ‘educational effect’, ‘teaching method’, and ‘educational target’. Conclusions This study derived the main topics and flows of research based on the results of keyword network analysis of domestic artificial intelligence convergence gifted education-related research.

Korean Association For Learner-Centered Curriculum And InstructionVol. 24(17)
Openalex Percentile: Top 12%
Diverse Approaches in Healthcare and Education Studies
2.17
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