Study on Learner Comprehensive Evaluation Model Driven by Multi-Source Process Data

It is of great significance to develop an effective multimedia network education platform. This paper aims to build an analysis and evaluation model of online learning behavior based on formative evaluation. The system is divided into three modules: behavior acquisition, behavior statistical analysis and learning analysis. The study of online learning behavior is a part of online education research. It is an important basis for designing adaptive network learning platform and learning resources. By learning the characteristics of the analyst process, such as time management, interference control, attention retention and content processing strategies. The research shows that based on the analysis of common quantitative parameters of online learning behavior, the effectiveness of the model in supporting students’ reading evaluation and reflection has been verified. People have a clearer and deeper understanding of online learning behavior. This study is an effective evaluation of the development of effective educational resources, the organization of teaching and teaching courses, and the effective evaluation of learning resources and learners.