Abstract: In order to explore the impact of different types of teaching interactions on college students' deep learning, a questionnaire was conducted among college students in the eastern (Guangdong), central (Henan, Guangxi), and western (Shaanxi) regions in China where online learning has been carried out. There are differences in the effects of interactions between students and content, students and teachers, students and students, and students and self on deep learning motivation, deep learning investment, and deep learning strategies. Based on this survey, it is shown that: (1) Teaching interaction has a significant impact on deep learning investment. Promoting effect; (2) Teaching interaction promotes deep learning strategies; (3) Teaching interaction does not all promote deep learning motivation.Based on the above research, the article proposes to promote the construction of online deep learning investment mechanism; strengthen the construction of group motivation mechanism; cultivate reflective thinking; pay attention to the monitoring of the deep learning process and optimize the relevant suggestions of deep learning strategies.