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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
AN Yeqing, SONG Xiaonan, WANG Jingru
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DOI:10.17265/2161-623X/2026.06.004
Lyuliang University, Lyuliang, China
In response to the teaching pain points of abstract concept understanding difficulties and lack of practical scenarios in the course of General Psychology, an AI based “three-stage four module” human-machine collaborative teaching model is constructed. This mode covers three stages: pre class, in class, and post class, integrating four major functions: personalized learning, intelligent diagnosis, interactive deepening, and feedback optimization. Utilize AI to push personalized preview resources, generate diagnostic tests, and predict learning progress before class; During class, teachers focus on difficult points based on learning reports and use AI tools to deepen conceptual understanding and higher-order thinking training; After class, AI provides adaptive exercises, intelligent writing feedback, etc. to promote knowledge transfer. Practice has shown that this model effectively enhances students’ learning participation and autonomy, and promotes the transformation of teachers’ roles from knowledge transmitters to learning guides and value shapers.
artificial intelligence, teaching mode, learning mode, general psychology, teaching reform
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