A meta-analysis of 219 articles on factors influencing learners' continuance intention toward online education platforms was conducted, drawing from Web of Science, Scopus, and Engineer Village. The study integrated theories including the expectation-confirmation model, information system success model, theory of planned behavior, and flow theory. Results showed that attitude (r=0.603), perceived usefulness (r=0.526), and satisfaction (r=0.606) were strongly correlated with continuance intention. These findings provide insights into the determinants of learners' continuance intention. The study also aims to offer scientific guidelines for platform developers, educators, and policymakers. The rapid development of information technology has led to the growth of the online education industry. Online education platforms have gained popularity due to their ability to overcome time and space limitations. The outbreak of COVID-19 increased reliance on online education platforms for learning. Learners' continuance intention toward online education platforms determines the success of their online learning. Therefore, it is essential to investigate the factors influencing this intention. Scholars have conducted empirical studies from different perspectives, but their findings have shown inconsistencies, indicating the need for a comprehensive study. This study conducted a meta-analysis of 219 empirical studies published between 2000 and 2023. Meta-analysis aims to integrate and discuss the results of numerous independent studies to gain a deeper understanding. In recent years, meta-analysis has been widely applied in information systems research. However, previous studies have not specifically focused on the main factors influencing continuance intention. This study focuses on popular online education platforms such as Coursera and Moodle to comprehensively analyze the key factors influencing learners' continuance intention. The research questions are: (1) What are the theoretical foundations and specific variables that influence learners' continuance intention toward online education platforms? (2) Among these variables, which ones are the key variables with significant effects on learners' continuance intention toward online education platforms? The study aims to provide educators with a deeper understanding, helping them better meet the needs of learners. It also aims to offer concrete insights to policymakers for formulating policies and strategies that support online education. Furthermore, it plans to investigate the practical applications of these findings to optimize and promote the future development of online education platforms. This will directly influence the teaching methods and content design of educators and guide policymakers in making decisions in the field of online education, ensuring a more attractive and effective learning experience for learners.A meta-analysis of 219 articles on factors influencing learners' continuance intention toward online education platforms was conducted, drawing from Web of Science, Scopus, and Engineer Village. The study integrated theories including the expectation-confirmation model, information system success model, theory of planned behavior, and flow theory. Results showed that attitude (r=0.603), perceived usefulness (r=0.526), and satisfaction (r=0.606) were strongly correlated with continuance intention. These findings provide insights into the determinants of learners' continuance intention. The study also aims to offer scientific guidelines for platform developers, educators, and policymakers. The rapid development of information technology has led to the growth of the online education industry. Online education platforms have gained popularity due to their ability to overcome time and space limitations. The outbreak of COVID-19 increased reliance on online education platforms for learning. Learners' continuance intention toward online education platforms determines the success of their online learning. Therefore, it is essential to investigate the factors influencing this intention. Scholars have conducted empirical studies from different perspectives, but their findings have shown inconsistencies, indicating the need for a comprehensive study. This study conducted a meta-analysis of 219 empirical studies published between 2000 and 2023. Meta-analysis aims to integrate and discuss the results of numerous independent studies to gain a deeper understanding. In recent years, meta-analysis has been widely applied in information systems research. However, previous studies have not specifically focused on the main factors influencing continuance intention. This study focuses on popular online education platforms such as Coursera and Moodle to comprehensively analyze the key factors influencing learners' continuance intention. The research questions are: (1) What are the theoretical foundations and specific variables that influence learners' continuance intention toward online education platforms? (2) Among these variables, which ones are the key variables with significant effects on learners' continuance intention toward online education platforms? The study aims to provide educators with a deeper understanding, helping them better meet the needs of learners. It also aims to offer concrete insights to policymakers for formulating policies and strategies that support online education. Furthermore, it plans to investigate the practical applications of these findings to optimize and promote the future development of online education platforms. This will directly influence the teaching methods and content design of educators and guide policymakers in making decisions in the field of online education, ensuring a more attractive and effective learning experience for learners.