The rapid development of online education has posed brand-new challenges to the teaching quality monitoring system in colleges and universities. This paper systematically explores the three major characteristics of online teaching quality monitoring in colleges and universities: the complexity of monitoring brought by the separation of time and space, the enhanced accuracy based on technology dependence, and the monitoring dimensions expanded by the diversification of interaction. The research reveals the key existing problems at present, including the analytical predicament caused by data fragmentation, the stability crisis triggered by technical failures, and the validity limitations due to the insufficient adaptability of teachers and students. In response to these challenges, this paper proposes systematic solutions such as building a unified data platform, strengthening the technical support system, and conducting targeted training. Through multi-dimensional analysis, this study provides a theoretical framework and practical path for constructing a quality monitoring system that ADAPTS to the characteristics of online education, and has important reference value for improving the quality of online teaching in colleges and universities.