Awareness Analysis on Online Art Education using big data.

Autor: Soo-Yeon Yoon, Yang-Ha Chun
Předmět:
Zdroj: Library of Progress-Library Science, Information Technology & Computer; Jul-Dec2024, Vol. 44 Issue 2, p560-572, 13p
Abstrakt: The coronavirus, which first appeared in December 2019, has had a great economic and social impact not only on the world but also on Korea as of 2024, and has a great impact on the cultural and artistic fields. This study was conducted to identify the perception of online non-face-to-face arts and physical education practical training among the fields of arts and culture education and to suggest directions for online arts education. To this end, online big data was collected based on the keywords of 'art education', 'culture and art performance', and 'art and physical training', and after purification/morphological analysis of the collected data, text mining, matrix analysis, discourse analysis, Network analysis and sentiment analysis were performed. The big data collection of online arts and physical training was done through portals and SNS, and was targeted at Naver, Daum, Google, YouTube, and Twitter. The period consisted of 7,837 data from March 2022 to March 2023 to investigate the general public's perception of arts education after the COVID-19 pandemic. This study is expected to be a basic material to present the direction of online education for art culture by analyzing the perceptions of art majors as well as ordinary people interested in art and physical education through big data. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index