A Study on Changing Artificial Intelligence(AI) Perception Using Big Data Analysis

The purpose of this study is to establish basic data on the application of AI in counseling and education field. To this end, we collected and analyzed big data from 2014 to 2023, focusing on the keyword ‘artificial intelligence(AI).’ Using the TEXTOM, we collected data from portal site Naver and Google. Afterwards, the final refined data was subjected to keyword frequency analysis, degree centrality analysis, and CONCOR analysis using TEXTOM and UCINET. The research results are as follows. First, the frequency of AI increased rapidly over time. Second, similar words appeared in the keyword frequency analysis, but there were differences by year, and new words appeared. Third, the degree centrality analysis showed the AI technology and application areas that people consider important by year. Fourth, the CONCOR analysis confirmed that AI formed different clusters by year. Finally, the limitations of this study and future research tasks were discussed.

Authors

Publication Details

Journal
The Association of Korea Counseling Psychology Education Welfare
Published
2024-11-27
DOI
https://doi.org/10.20496/cpew.2024.11.5.311
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
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article

A Study on Changing Artificial Intelligence(AI) Perception Using Big Data Analysis

Chang-Seong OH, So-Hyung Kim, Sanghee Lee
The Association of Korea Counseling Psychology Education Welfare
Technology and Data Analysis
article

A Study on Changing Artificial Intelligence(AI) Perception Using Big Data Analysis

Chang-Seong OH, So-Hyung Kim, Sanghee Lee
article en

Abstract

The purpose of this study is to establish basic data on the application of AI in counseling and education field. To this end, we collected and analyzed big data from 2014 to 2023, focusing on the keyword ‘artificial intelligence(AI).’ Using the TEXTOM, we collected data from portal site Naver and Google. Afterwards, the final refined data was subjected to keyword frequency analysis, degree centrality analysis, and CONCOR analysis using TEXTOM and UCINET. The research results are as follows. First, the frequency of AI increased rapidly over time. Second, similar words appeared in the keyword frequency analysis, but there were differences by year, and new words appeared. Third, the degree centrality analysis showed the AI technology and application areas that people consider important by year. Fourth, the CONCOR analysis confirmed that AI formed different clusters by year. Finally, the limitations of this study and future research tasks were discussed.

The Association of Korea Counseling Psychology Education WelfareVol. 11(5)
Openalex Percentile: Top 67%
Technology and Data Analysis
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