Hybrid Teaching Reform and Practice in Big Data Collection and Preprocessing Courses Based on the Bosi Smart Learning Platform

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.