RESEARCH STATUS AND TREND OF LEARNING MOTIVATION IN ONLINE LEARNING BASED ON CITESPACE

Abstract

In this study, CiteSpace software was used to visually analyze 177 literatures on online learning and learning motivation in the CNKI （China National Knowledge Infrastructure） database from 2016 to 2023. Firstly, the number of publications and subject distribution of these literatures are sorted out. Then, CiteSpace software is used to analyze the co-occurrence of high-frequency keywords and the evolution of research topics. In the process, several important trends and findings were uncovered. First, the amount of literature published on the topic of e-learning and learning motivation in China shows an inverted U-shaped growth trend, which indicates that this field still has great development potential in the future. Second, the development process of online learning and learning motivation research is divided into three stages: germination, slow growth and fluctuating growth. Third, the analysis finds that current research mainly focuses on the perspective of pedagogy, so future research can make breakthroughs in disciplines and methods, especially in exploring the influencing factors and stimulation strategies of learning motivation in online learning. The findings of this study provide an important reference and direction for future research.