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
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: firstname.lastname@example.org, email@example.com).
C. Mun is with the Electrical, Electronic & Communication Engineering Department, Hanyang Cyber University, Seoul, Korea (e-mail: firstname.lastname@example.org).
H. Ha is with Software Education Committee, Office of Academic Affairs, Hanyang University, Seoul, Korea (Corresponding author; e-mail: email@example.com).
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).