Abstract—In an industry, society gets more interest in software. In accordance with this trend, in the process of composing the university's curriculum, it is increasingly emphasized that problem-based learning through computational thinking and programming ability based on logical thinking is weighted. This study conducted a study on how to identify students' educational characteristics and study intention. In particular, a methodology to explore the study intention for Python programming from the characteristics of each student was reviewed. For this analysis, the relationship between new technology from their point of view and factors is analyzed, factors are identified for methodologies, and statistical methodologies are used to verify them. The purpose of this study is to find improvements for software education operation and to provide help in educational policy decision-making of university members who conduct computer software education.
Index Terms—Software education, Computer programming education, Software society, UTAUT2.
M. Cheon and O. Lee are with the Information Systems Department, Hanyang University, Seoul, Korea (e-mail: jmj2316@hanyang.ac.kr, ooklee@hanyang.ac.kr).
C. Mun is with the Electrical, Electronic & Communication Engineering Department, Hanyang Cyber University, Seoul, Korea (e-mail: changbae@hycu.ac.kr).
H. Ha is with Software Education Committee, Office of Academic Affairs, Hanyang University, Seoul, Korea (Corresponding author; e-mail: special007@hanyang.ac.kr).
Cite: Minjong Cheon, Ook Lee, Changbae Mun, and Hyodong Ha, "A Study on the Factors Affecting Intention of Learning Python Programming: For Non-majors in University," International Journal of Information and Education Technology vol. 12, no. 5, pp. 414-420, 2022.
Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).