This study examines the Big Data Collection and Preprocessing course at Anhui Institute of Information Engineering, implementing a hybrid teaching reform using the Bosi Smart Learning Platform. The proposed hybrid model follows a “three-stage” and “two-subject” framework, incorporating a structured design for teaching content and assessment methods before, during, and after class. Practical results indicate that this approach significantly enhances teaching effectiveness and improves students’ learning autonomy.