In order to consolidate the effect of classroom teaching and broaden students’ thinking, stimulate students’ interest in learning, avoid forgetting more and more, so that students actively explore knowledge. The author proposes an adaptive memory model based on Ebbinghaus’ forgetting curve theory. Firstly, the relationship between the mathematical equation of memory curve and Ebbinghaus forgetting curve theory is introduced. Select the forgetting curve fitting function, and then define the adaptive memory model, the software divides the user’s initial cognition of words into three types: cognition, vagueness, and ignorance, the average memory times of these three types of content are counted separately, finally, the average memory times of the three types of content are comprehensively averaged, finally, a comparative experiment is carried out based on the intelligent memory model of the Ebbinghaus forgetting curve. The results show that while not affecting the memory effect, using the intelligent memory model, the number of memories is reduced by 37.12% compared with the New Oriental memory method, using the adaptive memory model reduces the number of memories by 43.35% compared to the New Oriental memory method. The experimental results show, the adaptive memory model further saves 6.31% of memory times compared to the intelligent memory model, not only has good adaptability to each user’s memory situation, it also further improves memory efficiency. From this it can be seen that, university ideological and political learning model based on the mathematical equation of statistical memory curve: The adaptive memory model has certain reliability and feasibility.