Analyzing the characteristics of first-year university students' career awareness through free-writing reports

Yoko Nakazato, Tatsuya Tsumagari, Takashi Tsumagari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

How does the mindset of students change when then experience unpredictable crises? This study examined the characteristics of first-year university students' career awareness through quantitative text analysis of their free-writing reports. Correspondence analysis was conducted on the free-writing reports in Japanese (total 1,332,138 letters) of 2,652 first-year university students who studied career development during 2011-2019 at the Prefectural University of Kumamoto, Japan. The results showed that students who faced unpredictable circumstances due to the Kumamoto Earthquakes in 2016 had a higher tendency to think about their career development. They more frequently focused on striving for success through their own efforts than students in other years. Moreover, most of these students had engaged in activities both inside and outside their school campuses when they were in high school. These results suggest that unpredictable crises, such as the Kumamoto Earthquakes, can drive students who engage in activities both inside and outside their campuses to work independently, as well as provide them the opportunity to focus on their own abilities.

Original languageEnglish
Title of host publicationProceedings - 2020 9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020
EditorsTokuro Matsuo, Kunihiko Takamatsu, Yuichi Ono, Sachio Hirokawa
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages347-350
Number of pages4
ISBN (Electronic)9781728173979
DOIs
Publication statusPublished - Sep 2020
Event9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020 - Kitakyushu, Japan
Duration: Sep 1 2020Sep 15 2020

Publication series

NameProceedings - 2020 9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020

Conference

Conference9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020
Country/TerritoryJapan
CityKitakyushu
Period9/1/209/15/20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Information Systems and Management

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