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A Study on Student Satisfaction according to Likert Scale in Big Data Training

빅데이터 양성 교육에서 리커트 척도에 따른 만족도 분석에 관한 연구

  • Choi, Hyun (Dept. of Civil Engineering, Kyungnam Univerisity)
  • 최현 (경남대학교 공과대학 토목공학과)
  • Received : 2019.10.25
  • Accepted : 2019.12.05
  • Published : 2019.12.31

Abstract

The big data industry market continues to grow and is expected to grow further. In this paper, based on the five-point Likert scale of college students in the process of developing big data young people, the satisfaction of instructors in big data training and improvement of job (education) ability based on AI convergence The survey was conducted on the expectations of the participants and their intention to participate in the training process for the young talents. Male students were more satisfied than students. In terms of students, students who are less than 6th semester have the highest satisfaction, but students who are less than 7th and 8th semesters are less satisfied. By department, the satisfaction level of science and statistics students was the highest, while the satisfaction level of other students was low. According to the average of college credits, the satisfaction of students under 3.5~4.0 was the highest, and the satisfaction of students below 3.0 was the lowest.

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