Research on Augmented Reality Teaching Strategies for Civics Courses Oriented to History Education

In the context of comprehensively promoting information-based teaching, the construction of school classrooms is also developing in the direction of specialization, connotation as well as intelligence. The article designs a learning system for augmented technology in the context of augmented reality technology. The AR image-matching algorithm is proposed through the study of the system, and then the traditional KCF algorithm is improved, and a target tracking algorithm based on fusion matching is obtained by fusing the improved KCF algorithm with the image-matching algorithm. Then, the target is judged whether the target is lost or not by comparing the magnitude of the peak value (PSR) and the empirical value, and the test results show that the improved KCF has stronger target tracking utility. Subsequently, target tracking experiments were conducted using the fusion matching-based target tracking algorithm on students' expressions in the classroom as well as head-up rate and concentration, while the accuracy of both experiments ranged from 83% to 95%. Thus, the algorithm performed better. Finally, a goal-tracking system was conducted for civics teaching with 75 students from University A. The results were based on the mean changes before and after the seven dimensions of the Civics course. It was found that after using the goal tracking system, the students' post-test means all changed, of which the largest change in the score mean was historicism, with a difference of 21.04 between the before and after meals and the most obvious educational effect. It is favorable for teachers to conduct civics lessons to improve students' learning status and performance. © 2024 Yunnan Du, published by Sciendo.