The integration of information technology and teaching promotes the reform of teaching in colleges and universities, and this paper extracts students’ learning state in classroom learning based on information fusion technology and explores the remodeling role of Civic and Political Education from multiple dimensions. Face expression recognition is used to extract students’ expressions in classroom learning, and their learning status is evaluated by combining head posture estimation. The z-score method is used to quantify the students’ classroom state data in a dimensionless way, and the learning state data with different scales are transformed into numerical values that can be calculated directly to realize the quantification of learning interest. Four dimensions are examined to explore the remodeling effect of civic and political education: students’ cognitive attention, learning emotions, course acceptance, and information fusion. The results show that the classroom state of student 1 under the information fusion of Civic Education has been in the state of conscientiousness, with cognitive attention greater than 0.25, and the cognitive attention values of students 5 and 6 are at [0.1966,0.2822], which indicates that the cognitive attention of students in the classroom of Civic Education is high. Under the dimension of information fusion, the dimension of information fusion of all 6 students is greater than 0.5, which indicates that students can make connections with other knowledge fusion in the Civic Education classroom.