Exploring the Blended Learning Model in the Course of Data Collection and Processing

Addressing issues in traditional teaching, such as limited teaching resources, insufficient depth of content, low student motivation, poor autonomous learning ability, and delayed feedback on teaching outcomes, this paper proposes a blended learning model for the Data Collection and Processing course. The online component provides PPTs, teaching videos, and surveys, while the in-class sessions focus on explaining key and difficult points, group discussions, and practical exercises. After class, tests are designed,and evaluations of the teaching content are conducted.