Causal Analysis of Learning Behavior and Learning Effect in MOOC Based on Bayesian Network

In response to the poor learning outcomes of learners in MOOC learning, this paper conducts a causal analysis of learning behaviour and learning outcomes based on the prediction of learning outcomes. Firstly, it analyzes the factors that affect the learning effect, and puts forward the steps of causal analysis. Secondly, a causal Bayesian network of learning effects and their influencing factors is constructed. Next, based on the constructed causal Bayesian network, the causal analysis of learning effect prediction, learning behaviour and learning effect are carried out to uncover the behaviour patterns that lead to excellent and poor learning effects, and intervention suggestions are given for the behavioral patterns that lead to poor learning effects.