Research on Collaborative Innovation of Supply-Side Reform of University Ideological and Political Education Based on Intelligent Big Data Information Fusion

Abstract

The times are changing with each passing day, and the traditional ideological and political education cannot adapt to the information age. Schools overemphasize theory, weaken the implementation of practice, ignore the needs of students, and lack electronic equipment to assist learning. All these factors make ideological and political education in colleges and universities stay in a superficial form and do not really lead students to study deeply. Innovation introduces supply-side vision, reforms educational theory structurally, and accelerates the transformation of classroom style. Let teachers and students leave the shackles of the classroom, learn from various sources of knowledge, and carry out personalized learning from their own areas of interest. The results show that (1) after data fusion, the credibility of ideological and political knowledge is 91%, which is better than other methods. (2) The knowledge base constructed by the laboratory meets the standards of colleges and universities, and its quality passes the standard, but its timeliness is slightly poor, and the test result is about 85%. (3) Learning interest model can push personalized knowledge according to students’ characteristics. (4) In the actual scene, students’ ideological and political education shows a benign development trend. The results of this study are quite satisfactory, which verifies the practicability and effectiveness of the proposed method and obtains feasible results.