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Analysis of the Elements of Future Development of Korean Style Software Education Through the Opinion Mining Technique

  • Ji-Hoon Seo
  • Kil-Hong Joo
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 474)

Abstract

The present study analyzed the elements of future-oriented development of Korean style-based software education for more effective operation centering on the software education that will be implemented as a regular curriculum subject from 2018 in South Korea. As for the analysis methods, unstructured data collected from the Web were managed in a big data store and trend analyses were conducted through the frequency counts of words utilizing the pretreatment technique. Based on the results of the present study, the proportion of positive elements has been higher thus far. However, the proportion of negative elements has been increasing over time. Therefore, it could be seen that for long-term development of software education, rather than coding centered education, the proportion of the learning of the ability to think computing would act as an important variable for development factors.

Keywords

Big data Software education Association analysis  Opinion mining Education data 

Notes

Acknowledgments

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF- 2017S1A5A2A01025431) and this research was supported by the Professors Overseas Research Support 2016 of LG Yonam Cultural Foundation. The authors gratefully acknowledge the generous support from the LG Yonam Foundation.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Gyeongin National University of EducationManan-gu, Anyang-siRepublic of Korea

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