Online Learning Interactions on Learning Outcomes Through Flow Experience of Chinese Students

Abstract

Online learning has received much attention in higher education. However, evidence about interaction online is scarce. To shed light on this phenomenon, we used Chaoxing, an online learning platform designed to foster and improve college students' learning outcomes. Chaoxing is a comprehensive online learning platform based in China that meets the established standards for high-quality online learning platforms. In 2023, 459 college students in China participated in the research of Chaoxing online learning platform. The students are mainly from Chongqing, China. The data were then analyzed using partial least squares (PLS). We found that online learning interactions affect student learning outcomes through flow experiences and, notably, this study found that learning outcomes are determined by the user's concentration on the platform and its content. Insights from Moore's interaction model and flow theory are used to explain these findings. Implications for education policy makers and students are discussed.