Home > Published Issues > 2024 > Volume 10, Number 4, 2024 >
IJLT 2024 Vol.10(4): 497-504
doi: 10.18178/ijlt.10.4.497-504

Determinants Influencing the Continuous Intention of Online Learning among Art Undergraduates in the Chengdu Area

Xin Zhang
Chengdu University, Chengdu, China
Email: 978704451@qq.com

Manuscript received October 20, 2023; revised December 13, 2023; accepted January 16, 2024; published July 31, 2024.

Abstract—This research aims to determine what factors affect fine arts majors’ continuance intention using online learning. The Technology Model (Information System Success Model), the theoretical foundation for this paper, assumes Service Quality by testing students’ experience as predictors of their continuance intention using distance online learning: System Quality, Information Quality, and Student Engagement. The paper investigates the impact of five potential satisfaction variables on student’s continued intention to use online learning. This study uses a quantitative research approach to sample all fine arts majors with online education experience, resulting in 545 valid questionnaires. The population size is undergraduates majoring in fine arts from three universities in Chengdu area. The sample size is 724, and quota sampling method is adopted. The statistical results of the questionnaire show that all the independent and mediating variables significantly affect the satisfaction of the dependent variables, especially online learning satisfaction. Therefore, it is suggested that the teaching administration institutions of art majors in universities should optimize and improve the current online teaching mode according to the results of this study so that students’ satisfaction with online learning can be increased and so that an ideal teaching impact and continuance usage intention can be obtained. From the conceptual framework of the Information System Success Model, this study identifies the factors that affect the continuous intention of fine arts undergraduates in online learning and formulates corresponding strategies. 
 
Keywords—online learning, continuance use intention, technology acceptance model 

Cite: Xin Zhang, "Determinants Influencing the Continuous Intention of Online Learning among Art Undergraduates in the Chengdu Area," International Journal of Learning and Teaching, Vol. 10, No. 4, pp. 497-504, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.