With the Internet era’s development, information technology’s role in education has become more prominent. In this paper, we firstly design the quality index of college network ideological and political education from the two broad dimensions of the goal (network ideological and political education work) and goal achievement (network ideological and political education effectiveness) of the quality of network ideological and political education in colleges and universities in the new era. Then, combining XGBoost algorithm and TPE hyperparameter optimization method, XGBoost is used as a classification model, and its iterative optimization is carried out by TPE hyperparameter optimization method, to establish the prediction model of the quality of ideological and political education based on XGBoost-TPE. Then, the online ideological and political education courses of university X are taken as the research object, and data are collected and calculated to study the prediction of the effectiveness of each index on the Civic and Political Education. Finally, the predicted and actual scores of the two ideology and politics courses are compared to explore the influence of teachers’ teaching quality factors on the quality of ideology and politics education. The analysis shows that the quality of course parenting, the quality of research parenting, and the home-school-society linkage parenting mechanism have the most significant influence on the predicted direct, indirect, and spillover effectiveness of ideological education, respectively, which are more than 60%. Teacher 1 and Teacher 2 contributed 2.38 and -1.13 to the achievement of Course D, and Teacher 3 and Teacher 4 contributed 2.47 and -2.53 to the accomplishment of Course E, respectively. © 2023 Jing Yang, published by Sciendo.
