AI_Student_Impact_Dataset is a large-scale educational behavior dataset that covers multiple dimensions of variables. It aims to systematically analyze the real impact of generative AI tools in college learning scenarios and is widely used to characterize the comprehensive effect of generative AI on students' overall development. This dataset contains 50,000 student samples and 16 structured feature fields, covering data such as students' academic background, AI usage behavior, learning behavior, institutional background, mental health status, and application scenarios.