Path Exploration and Practice of AI-Powered Teaching in Experimental Psychology Courses

In the context of the rapid development of artificial intelligence, the use of AI tools to enhance students’ critical thinking in experimental psychology courses has become an important issue for teaching reform. Based on the course Experimental Psychology (II), this study constructed a collaborative teaching model of AI with Prompt guidance as the core, integrated generative AI into the three modules of theoretical teaching, experimental implementation, and experimental report writing, and designed Prompt tasks with reusability, guidance, and extensibility to promote students’ depth of thinking and expression in experimental design, data analysis, and interpretation of results. AI optimized the structure and logical presentation of the report, facilitating students’ transition from operational execution to model building and theoretical reflection. Students also demonstrated greater problem awareness and metacognitive regulation. This study provides an actionable practical paradigm for experimental psychology courses reform, as well as empirical support and methodological insights for the intelligent transformation of cognitive courses.