The invention belongs to the technical field of data processing, and discloses a networked teaching data analysis method and system based on multiple modes, and the method comprises the steps: carrying out the feature screening through employing a maximum information coefficient MIC, and removing irrelevant factors; after MIC analysis is used for feature screening, screened features form a featurespace again, a random forest is used for regression, and a final evaluation model is obtained; a method of combining a learning analysis technology and a data mining algorithm is adopted; according to the method, learning ability data, physiological data and learning behavior data generated when students learn on a theoretical course online learning platform are integrated and analyzed, a theoretical online course learning effect evaluation model is established, the learning effect of the students is evaluated, and an evaluation result is output in the forms of graphs, numbers and the like byapplying a visualization technology. According to the invention, a machine learning technology is utilized to establish a multi-modal information fusion theoretical course evaluation system, and theoretical and technical method support is provided for an online course learning process.