Computational ideological and political education is the product of the high degree of integration of ideological and political education with computers, big data, artificial intelligence and other information technologies, and is a new paradigm of ideological and political education in the information age. Through intelligent data collection, data model construction, algorithm analysis, simulation and other links, ideological and political education can not only scientifically explain the various complex ideological and political education phenomena that have already occurred, but also accurately calculate and predict the future state of the ideological and political education system, so that the discipline of ideological and political education can be like natural science, engineering technology through data, model, calculation, simulation and other scientific means. Realize from empirical research to empirical research in order to achieve the political goal of ideological and political education in a more scientific, accurate and efficient way. However, there are still a series of conceptual, technical, data, legal and ethical problems in the construction of computational ideological and political education. Through efforts from various aspects, design practical and guiding program strategies, so as to make full use of big data as a carrier to implement the innovation of college students’ ideological and political education into practice, and enhance the effectiveness of college students’ ideological and political education in the era of big data as the ultimate goal.
Construction of Personalized Education Model for College Students Driven by Big Data and Artificial Intelligence
