Abstract：Artificial intelligence (AI) has brought new challenges to the reform of university teaching thinking. Under the background of AI, university teaching needs thinking modes such as original thinking, heterogeneous thinking and interactive thinking. At present, university teaching is still constrained by technical thinking, homogeneous thinking, and oneway thinking under the background of AI, and takes technicality as the center of university teaching activities, takes homogeneity as the demand of university teaching activities, and takes isolation as the pattern of university teaching activities. Under the background of AI, the reform of university teaching thinking needs to break shackles of technological thinking and return to the true nature of students′ lives; get rid of the imprisonment of homogeneous thinking and promote the individual development of students; break through the barriers of unidirectional thinking and shape an interactive community.
李洪修， 吴思颖. 人工智能背景下大学教学思维的审视与回归[J]. 高校教育管理, 2020, 14(2): 29-36.
LI Hongxiu， WU Siying. The rethinking and regression of university teaching thinking under the background of artificial intelligence. Journal of Higher Education Management, 2020, 14(2): 29-36.
2020, Vol. 14 
