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Influencing Factors of Online Course Learning Intention of Undergraduates Majoring in Art and Design: Mediating Effect of Flow Experience

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  • Tian Hewei
  • Lee Youngsook

Abstract

Using technology to support learning is a major trend in the development of modern education. In the face of COVID-19, online courses play an important role. During the COVID-19 pandemic, a large number of online art design courses have been developed in China. Art design courses involve many practical investigation and skill operation links, which is a challenge of online learning. In order to explore the influencing factors of online course learning intention of art and design majors, this study compiled a questionnaire, conducted an online survey on 1,057 Chinese art and design majors through the Wenjuanxing questionnaire survey platform, and conducted structural equation analysis and hierarchical regression analysis on the sample data by using SPSS and AMOS analysis software. Based on Information Technology Acceptance Model and immersion theory, this study focuses on the relationship between information characteristics, immersion experience and learning intention of art and design online courses. The results show that the antecedent variables such as professionalism, interactivity, interest, and ease of use of online courses have a positive impact on College Students’ user immersion experience and learning intention; Immersion experience positively affects learning intention; Immersion experience plays a mediating role between online course information characteristics and learning intention.

Suggested Citation

  • Tian Hewei & Lee Youngsook, 2022. "Influencing Factors of Online Course Learning Intention of Undergraduates Majoring in Art and Design: Mediating Effect of Flow Experience," SAGE Open, , vol. 12(4), pages 21582440221, November.
    • Handle: RePEc:sae:sagope:v:12:y:2022:i:4:p:21582440221134004
    DOI: 10.1177/21582440221134004
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    References listed on IDEAS

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    1. Md. Shamim Hossain & Xiaoyan Zhou, 2018. "Impact of m-payments on purchase intention and customer satisfaction : perceived flow as mediator," International Journal of Science and Business, IJSAB International, vol. 2(3), pages 503-517.
    2. Luxin Jiang & Xiaohui Wang, 2020. "Optimization of Online Teaching Quality Evaluation Model Based on Hierarchical PSO-BP Neural Network," Complexity, Hindawi, vol. 2020, pages 1-12, November.
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