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ThinkMind // CONTENT 2019, The Eleventh International Conference on Creative Content Technologies // View article content_2019_1_40_60038


Semantic Network Analysis for VR & Coding Education in Big Data

Authors:
Su Jeong Jeong
Jeong Jin Youn

Keywords: Semantic Network Analysis; VR & Coding Education; Big Data.

Abstract:
The purpose of this study is to investigate the informal Big Data to understand the discourse among the members of VR & Coding education. Therefore, we will understand the social meaning of VR & Coding education and discuss VR & Coding education required in society. For this research, we looked at Big Data about 'VR & Coding education' which has been collected through online channel for the last 5 years. We collected 4392 data sets from the online channel, and after refining, we constructed a semantic network with 200 important keywords. When we searched for 'VR + Coding Education', the most frequently appeared keywords were 'Experience', 'Virtual Reality', 'Fourth Industrial Revolution', 'Robot', 'Program'. Degree centrality values were 'experience', 'virtual reality', 'robot', 'fourth industrial revolution', 'infant'. Based on these results, we analyze the implications of VR & Coding education to society.

Pages: 13 to 14

Copyright: Copyright (c) IARIA, 2019

Publication date: May 5, 2019

Published in: conference

ISSN: 2308-4162

ISBN: 978-1-61208-707-8

Location: Venice, Italy

Dates: from May 5, 2019 to May 9, 2019

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